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8 pages, 685 KiB

Open AccessProceeding Paper

The Analysis of the Effect of a Mental Workload and Burnout on Employees’ Safety Behavior in the Oil and Gas Industry Using Roster Systems

by Denby Truman and Ratna Sari Dewi

Eng. Proc. 2024, 76(1), 1; https://doi.org/10.3390/engproc2024076001 - 14 Oct 2024

Viewed by 654

Abstract

The oil and gas industry is a high-risk industry because of the work, meaning that employees in this industry to be very prone to work accidents. Employees who work in isolated locations such as offshore platforms in the long term can experience mental [...] Read more.

The oil and gas industry is a high-risk industry because of the work, meaning that employees in this industry to be very prone to work accidents. Employees who work in isolated locations such as offshore platforms in the long term can experience mental and emotional fatigue, resulting in burnout. Therefore, this research was conducted with the aim of analyzing and identifying the influence of mental workload and burnout on safety behavior with different roster systems of 2 weeks and 3 weeks in the oil and gas industry. The researchers used several approaches to analyzing mental workload, burnout, and safety behavior using the PLS-SEM method with SMART PLS software. Based on the results obtained from the comparative analysis of the roster systems, it was concluded that the 2-week roster system is better than the 3-week one. This research can also provide information to companies regarding the level of mental workload, burnout, and their relationship with safety behavior and recommendations programs for companies to minimize the risk of accidents by paying attention to the mental health aspects of their employees. Full article

(This article belongs to the Proceedings of 1st International Conference on Industrial, Manufacturing, and Process Engineering (ICIMP-2024))

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8 pages, 222 KiB

Open AccessProceeding Paper

Diverse Approaches to Construction and Demolition Waste Reuse: A Case of South Africa

by Kenneth Otasowie, Clinton Aigbavboa, Ayodeji Oke, Peter Adekunle and Emmanuel Ayorinde

Eng. Proc. 2024, 76(1), 2; https://doi.org/10.3390/engproc2024076002 - 15 Oct 2024

Viewed by 524

Abstract

Construction and demolition waste management through the reuse of materials has drawn a considerable amount of attention in recent years. Hence, this study examines the diverse approaches to construction and demolition waste reuse in South Africa. Surveying 122 construction professionals, 87 responses were [...] Read more.

Construction and demolition waste management through the reuse of materials has drawn a considerable amount of attention in recent years. Hence, this study examines the diverse approaches to construction and demolition waste reuse in South Africa. Surveying 122 construction professionals, 87 responses were analysed using descriptive statistics. The results show that manufacturing the road base pavement layer from reclaimed asphalt, manufacturing furniture from used timber, using recycled plastic to manufacture plastic strips for soil embankments, and manufacturing fibreglass insulation from recycled glass are the most adopted and significant approaches to construction and demolition waste reuse in South Africa. By embracing these approaches, the construction industry can transition towards more sustainable and resource-efficient practices, thereby minimising waste generation, conserving natural resources, and mitigating environmental impacts. Full article

(This article belongs to the Proceedings of 1st International Conference on Industrial, Manufacturing, and Process Engineering (ICIMP-2024))

8 pages, 212 KiB

Open AccessProceeding Paper

Constructing Cyber Resilience: A Focus on Cybersecurity Measures in the South African Construction Sector

by Seyi Stephen, Clinton Aigbavboa, Ayodeji Oke, Opeoluwa Akinradewo and Ayobami Idowu

Eng. Proc. 2024, 76(1), 3; https://doi.org/10.3390/engproc2024076003 - 15 Oct 2024

Viewed by 365

Abstract

In addressing the challenges of cyber threats in the South African construction sector, the study employed a quantitative methodology involving a questionnaire retrieved from 86 of the study’s respondents. It employed tools like mean item score (MIS), standard deviation (SD), and the pattern [...] Read more.

In addressing the challenges of cyber threats in the South African construction sector, the study employed a quantitative methodology involving a questionnaire retrieved from 86 of the study’s respondents. It employed tools like mean item score (MIS), standard deviation (SD), and the pattern matrix of exploratory factor analysis (EFA). The findings revealed critical cybersecurity measures, including adherence to international information security standards such as the General Data Protection Regulation (GDPR), ISO 27001, or the Cybersecurity Framework by NIST, two-factor authentication, and strategic planning. The implications of these findings underscore the importance of robust cybersecurity frameworks and heightened awareness. This research contributes insights for enhancing cyber resilience in the construction industry, urging stakeholders to prioritize protective measures against cyber risks. Full article

(This article belongs to the Proceedings of 1st International Conference on Industrial, Manufacturing, and Process Engineering (ICIMP-2024))

8 pages, 1012 KiB

Open AccessProceeding Paper

Fuzzy Logic Approach to Circular Economy Maturity Assessment of Manufacturing Companies

by Dennis Kreutzer, Esther Borowski and Ingrid Isenhardt

Eng. Proc. 2024, 76(1), 4; https://doi.org/10.3390/engproc2024076004 - 15 Oct 2024

Viewed by 364

Abstract

The transition from linear to circular value creation is leading to a fundamental transformation in all areas of manufacturing organisations. Maturity models are used to analyse and support the transformation, but these have deficiencies regarding holism and the ability to process fuzziness. To [...] Read more.

The transition from linear to circular value creation is leading to a fundamental transformation in all areas of manufacturing organisations. Maturity models are used to analyse and support the transformation, but these have deficiencies regarding holism and the ability to process fuzziness. To address these deficiencies, a holistic Fuzzy Logic approach to Circular Economy maturity assessment is proposed. Circular Economy maturity indicators are processed in a multi-stage fuzzy system. This allows for the identification of potential for change in all areas of the organisation to derive actions to improve the organisation’s circularity. Full article

(This article belongs to the Proceedings of 1st International Conference on Industrial, Manufacturing, and Process Engineering (ICIMP-2024))

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8 pages, 208 KiB

Open AccessProceeding Paper

A Meta-Analysis of Adopters and Non-Adopters of Rooftop Photovoltaics in Indonesian Households

by Bertha Maya Sopha and Sholeh Ma’mun

Eng. Proc. 2024, 76(1), 5; https://doi.org/10.3390/engproc2024076005 - 15 Oct 2024

Viewed by 263

Abstract

Although the Indonesian government has conducted various interventions to escalate the uptake of rooftop PV in Indonesian households, adoption has still been sluggish. Few studies have been conducted to explore the issue, and these studies are scattered. The paper aims to assess generalizations [...] Read more.

Although the Indonesian government has conducted various interventions to escalate the uptake of rooftop PV in Indonesian households, adoption has still been sluggish. Few studies have been conducted to explore the issue, and these studies are scattered. The paper aims to assess generalizations of the previous studies regarding adopters’ and non-adopters’ characteristics of Indonesian households and their perceptions of rooftop PV attributes using meta-analysis. The findings show that statistically significant differences between the two studies in terms of socio-demographic factors, problem awareness, innovativeness, and perceived qualities of rooftop photovoltaics exist. Despite the differences, the adopters of both studies perceived equally that using renewable energy was important, that rooftop photovoltaics were environmentally friendly, and that they were generally aware of environmental problems. It appears that the non-adopters sample drawn from stratified random sampling demonstrates a similar distribution specified by Diffusion of Innovation. Furthermore, the non-adopters in the two research show a comparable belief regarding the significance of putting renewable energy into practice. Due to inconclusive patterns, an empirical investigation that sufficiently represents both the rooftop PV adopters and non-adopters in Indonesian households is suggested. Other potential future research are also discussed. Full article

(This article belongs to the Proceedings of 1st International Conference on Industrial, Manufacturing, and Process Engineering (ICIMP-2024))

9 pages, 937 KiB

Open AccessProceeding Paper

Integrating 3D Printing into Traditional Construction Supply Chains: A Systematic Review of Challenges, Benefits and Framework Proposals

by Shahanaj Sultana, Sharfuddin Ahmed Khan and Mohammad Abu Hasan Khondoker

Eng. Proc. 2024, 76(1), 6; https://doi.org/10.3390/engproc2024076006 - 15 Oct 2024

Viewed by 530

Abstract

The purpose of this study is to highlight the existing challenges encountered by traditional construction supply chains and the potential advantages that 3D printing can offer to overcome these challenges. A systematic review was conducted, which revealed a total of eleven (11) obstacles [...] Read more.

The purpose of this study is to highlight the existing challenges encountered by traditional construction supply chains and the potential advantages that 3D printing can offer to overcome these challenges. A systematic review was conducted, which revealed a total of eleven (11) obstacles concerning material, cost, and environment. Moreover, eight (8) benefits of 3D printing were identified from various sources in the literature. Furthermore, a framework based on the literature has been proposed to demonstrate how these challenges, functions and benefits can interact with each other in the supply chain. The aim is to explore their impact on each other. Full article

(This article belongs to the Proceedings of 1st International Conference on Industrial, Manufacturing, and Process Engineering (ICIMP-2024))

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9 pages, 1162 KiB

Open AccessProceeding Paper

Public Acceptability of Solar Energy Implementation in Mexico

by Ana Sofia Andrade-Arias, Golam Kabir, Armando Elizondo-Noriega and Mehdi Mirmohammadsadeghi

Eng. Proc. 2024, 76(1), 7; https://doi.org/10.3390/engproc2024076007 - 15 Oct 2024

Viewed by 307

Abstract

This study identifies barriers hindering solar energy projects in Mexico and explores factors influencing public acceptance. Utilizing latent variables, the research reveals a correlation between low solar energy acceptance and government disinterest. Younger age and higher education levels positively correlate with greater support [...] Read more.

This study identifies barriers hindering solar energy projects in Mexico and explores factors influencing public acceptance. Utilizing latent variables, the research reveals a correlation between low solar energy acceptance and government disinterest. Younger age and higher education levels positively correlate with greater support for environmental conservation and solar projects. Such results emphasize the need for proactive strategies by policymakers, project developers, and other stakeholders in Mexico. Similarly, this study reveals the perception of the participants regarding government’s pivotal role in providing financial incentives and promoting solar initiatives to enhance public trust and acceptance of solar energy. Full article

(This article belongs to the Proceedings of 1st International Conference on Industrial, Manufacturing, and Process Engineering (ICIMP-2024))

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9 pages, 1346 KiB

Open AccessProceeding Paper

From Grinding to Green Energy: Pursuit of Net-Zero Emissions in Cement Production

by Md. Shahariar Ahmed, Anica Tasnim and Golam Kabir

Eng. Proc. 2024, 76(1), 8; https://doi.org/10.3390/engproc2024076008 - 15 Oct 2024

Viewed by 514

Abstract

In an age of heightened environmental awareness and the pressing need for net-zero emissions, concerns over rising energy consumption in cement production, responsible for 5–8% of global CO₂ emissions, have intensified. This paper proposes a novel pioneering framework that integrates Shannon’s entropy [...] Read more.

In an age of heightened environmental awareness and the pressing need for net-zero emissions, concerns over rising energy consumption in cement production, responsible for 5–8% of global CO₂ emissions, have intensified. This paper proposes a novel pioneering framework that integrates Shannon’s entropy and Multi-Criteria Decision Making (MCDM) methods to steer the cement industry towards sustainability and net-zero emissions. Utilizing Shannon’s entropy, the research impartially determines the significance of multiple criteria, reducing biases in decision-making for energy efficiency in cement production. Four MCDM methods (TOPSIS, VIKOR, ELECTRE, WSM) are applied to rank energy efficiency alternatives, providing a nuanced analysis of options for the cement industry. The study integrates sensitivity analysis to evaluate the robustness of MCDM methods under varying conditions, assessing the impact of changes in criteria weights on the ranking of energy efficiency alternatives and showcasing the adaptability of the proposed framework. Examining six diverse scenarios reveals the framework’s adaptability and the versatility of the Horizontal Roller Mill (HRM), with the Vertical Roller Mill (VRM) emerging as a cost-effective emission reduction alternative. This interdisciplinary approach, integrating information theory, decision science, and environmental engineering, extends beyond industry relevance, providing valuable insights aligned with global sustainability goals. Harmonizing economic viability with ecological responsibility, this report offers an instructive guide, propelling the cement industry toward a more sustainable future. Full article

(This article belongs to the Proceedings of 1st International Conference on Industrial, Manufacturing, and Process Engineering (ICIMP-2024))

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11 pages, 1024 KiB

Open AccessProceeding Paper

Preoperative and Postoperative Factors Associated with 30-Day Postoperative Emergency Room Visit for Bariatric Patients in the United States: A Systematic Review of the Literature

by Pawan Bhandari, M. Affan Badar, Christopher Kluse and Suhansa (Sue) Rodchua

Eng. Proc. 2024, 76(1), 9; https://doi.org/10.3390/engproc2024076009 - 16 Oct 2024

Viewed by 789

Abstract

This literature review explores 30-day emergency room (ER) visits for patients who go through bariatric surgery, an elective surgical procedure. The study delves into obesity and bariatric surgery trends and factors in 30-day postoperative ER visits for bariatric patients, utilizing PubMed and SCOPUS [...] Read more.

This literature review explores 30-day emergency room (ER) visits for patients who go through bariatric surgery, an elective surgical procedure. The study delves into obesity and bariatric surgery trends and factors in 30-day postoperative ER visits for bariatric patients, utilizing PubMed and SCOPUS databases. While most published peer-reviewed articles cover a mix of preoperative, intraoperative, and postoperative factors, almost no articles focus solely on preoperative factors impacting 30-day postop ER visits. This study contributes to the field in the way that it synthesizes and narrows down preoperative factors in one place and provides recommendations emphasizing these preemptive measures to optimize the healthcare system in the US for the patient population undergoing bariatric procedures. In the future, a model can be developed solely considering the preoperative factors to predict and minimize the possibility of 30-day postop ER visits, which can help reduce cost. Full article

(This article belongs to the Proceedings of 1st International Conference on Industrial, Manufacturing, and Process Engineering (ICIMP-2024))

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10 pages, 937 KiB

Open AccessProceeding Paper

A Sustainable Approach to Waste Management: Selecting the Optimal Landfill Site in Saskatchewan, Canada

by Md. Shahariar Ahmed, Sheikh Md Shahadat Kabir, Anica Tasnim, Arafat Sultan Khan, Kabita Bhowmik and Golam Kabir

Eng. Proc. 2024, 76(1), 10; https://doi.org/10.3390/engproc2024076010 - 16 Oct 2024

Viewed by 430

Abstract

Solid waste management is a crucial task for municipalities in disposing of city waste. Overcoming socioeconomic obstacles in finding appropriate landfill sites involves a multifunctional team using a process that includes selecting criteria and alternatives. In this study, the FUZZY Analytical Hierarchy Process [...] Read more.

Solid waste management is a crucial task for municipalities in disposing of city waste. Overcoming socioeconomic obstacles in finding appropriate landfill sites involves a multifunctional team using a process that includes selecting criteria and alternatives. In this study, the FUZZY Analytical Hierarchy Process (AHP) and FUZZY TOPSIS were used to rank five landfill alternatives based on seven criteria. Additionally, Interpretive Structural Modeling (ISM) was employed to establish hierarchical relationships between criteria. MICMAC analysis identified dominant and dependent factors. The study found that Land Capacity carries the highest weight, and the Central Landfill site is the most suitable location. Land Capacity is the dominant factor, while land surface temperature has minimal impact. Roads and communication networks have the highest driving power. The project’s findings can guide the selection of landfill sites and contribute to the development of new sites based on the criteria discussed and their relationships. Full article

(This article belongs to the Proceedings of 1st International Conference on Industrial, Manufacturing, and Process Engineering (ICIMP-2024))

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8 pages, 1077 KiB

Open AccessProceeding Paper

Industrial Metabolism MFA Model Applied in a Startup in Canada

by Jorge Hernán Torres-Berrío and Miguel Ángel Ospina Usaquén

Eng. Proc. 2024, 76(1), 11; https://doi.org/10.3390/engproc2024076011 - 16 Oct 2024

Viewed by 666

Abstract

Industrial metabolism is a recent field of research in engineering and sustainability. Its practical objective is to provide structural solutions to organizations and regulate the productive, ecological, and economic system. Due to being a relatively new topic and without a known pattern, the [...] Read more.

Industrial metabolism is a recent field of research in engineering and sustainability. Its practical objective is to provide structural solutions to organizations and regulate the productive, ecological, and economic system. Due to being a relatively new topic and without a known pattern, the present research adapts the 4R (resources) urban metabolism MFA model developed at ETH in Switzerland by Professor Peter Baccini and applies it to a Canadian food startup (Missfresh). Within the adjusted model, clean production tools, circularity plans, ecological design, inventory flow analysis, and the four general study variables (materials, infrastructure, impacts, and standards) were used for solutions within the company. This research seeks two academic results: the metabolic map (static–dynamic animation) that describes the behavior of the company during a period of time, and the industrial metabolism model adapted and validated for subsequent applications. In practical results, the impacts of the model in the 3Es of sustainability in the industry and the sector are evaluated: ecology, ergonomics, and economy. This research is conducted within the framework of an internship to obtain a master’s degree in Sustainable Development and Environment at the University of Montreal. Full article

(This article belongs to the Proceedings of 1st International Conference on Industrial, Manufacturing, and Process Engineering (ICIMP-2024))

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7 pages, 228 KiB

Open AccessProceeding Paper

Barriers to the Adoption of Unmanned Aerial Vehicles for Construction Projects in South Africa

by Opeoluwa Akinradewo, Clinton Aigbavboa, Chijioke Emere, David Ojimaojo Ebiloma, Olushola Akinshipe and Ayodeji Oke

Eng. Proc. 2024, 76(1), 12; https://doi.org/10.3390/engproc2024076012 - 16 Oct 2024

Viewed by 372

Abstract

At inception, unmanned aerial vehicles (UAVs) were mostly used for military purposes; however, in today’s technology-driven world, they are used for many more applications. In construction, UAVs can be used for pre-planning, proper surveying of the given area, checking or inspecting safety, 3D [...] Read more.

At inception, unmanned aerial vehicles (UAVs) were mostly used for military purposes; however, in today’s technology-driven world, they are used for many more applications. In construction, UAVs can be used for pre-planning, proper surveying of the given area, checking or inspecting safety, 3D printing, quality monitoring and other related objectives. Even though UAVs’ features and capabilities have been highlighted in various prominent studies, they are not being adopted efficiently in the construction industry, necessitating this study. A quantitative research approach was adopted to achieve the set objective of this study. Data were retrieved using a questionnaire survey distributed to construction professionals randomly in the South African construction industry. The retrieved data were analysed using descriptive and inferential data analysis methods. The findings from the analysis revealed that two significant clusters of barriers to adopting UAVs in the construction industry are related to technicalities and security factors. It was concluded that there is a long way to go in adopting UAVs in the construction industry. This study recommended that construction stakeholders take necessary measures to mitigate the identified barriers. This will assist the industry in improving its efficiency and performance. Full article

(This article belongs to the Proceedings of 1st International Conference on Industrial, Manufacturing, and Process Engineering (ICIMP-2024))

8 pages, 1242 KiB

Open AccessProceeding Paper

Analysis of Risks Faced by Chinese Exporters After Entering the International Market

by Denghui Wang, Dustin Unger and Golam Kabir

Eng. Proc. 2024, 76(1), 13; https://doi.org/10.3390/engproc2024076013 - 16 Oct 2024

Viewed by 292

Abstract

The global consumer goods market is one of the most complex and multi-layered markets, utilizing many supply chain networks daily. Chinese-made exports comprise roughly 35% of the global consumer market, and this figure is only likely to continue increasing given China’s advanced manufacturing [...] Read more.

The global consumer goods market is one of the most complex and multi-layered markets, utilizing many supply chain networks daily. Chinese-made exports comprise roughly 35% of the global consumer market, and this figure is only likely to continue increasing given China’s advanced manufacturing and technical abilities. This study develops the framework to analyze the risks of Chinese manufacturers exporting their products to the international markets and ultimately categorize each identified risk factor. Moreover, the Interpretive Structural Model (ISM) is employed to establish a hierarchical relationship between the risk factors, whereas the MICMAC method is used to analyze the categorical nature of each risk factor. Of the nine risk factors identified, two (New Competitors, War and Geopolitical Conflicts) resulted in the highest “V” risk rating, while one (Consumer Behavior) of the nine risk factors identified represented the lowest level “I” of risk. Prospective Chinese manufacturers that are looking to export consumer goods can use this research to aid in mitigating certain risk factors associated with entering the international market. Full article

(This article belongs to the Proceedings of 1st International Conference on Industrial, Manufacturing, and Process Engineering (ICIMP-2024))

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10 pages, 268 KiB

Open AccessProceeding Paper

Selection of Wind Turbine Blade Material Using Intuitionistic Fuzzy TOPSIS Method

by Neda Maroof Mashat and Golam Kabir

Eng. Proc. 2024, 76(1), 14; https://doi.org/10.3390/engproc2024076014 - 16 Oct 2024

Viewed by 284

Abstract

Utilizing turbines for wind energy is crucial for sustainable power. The effectiveness of turbines heavily relies on the blades, making material selection vital for their design. This study employs multi-criteria decision making (MCDM), particularly intuitionistic fuzzy (IF) in the Technique for Order of [...] Read more.

Utilizing turbines for wind energy is crucial for sustainable power. The effectiveness of turbines heavily relies on the blades, making material selection vital for their design. This study employs multi-criteria decision making (MCDM), particularly intuitionistic fuzzy (IF) in the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method, to facilitate material selection. The Intuitionistic Fuzzy Weighted Averaging (IFWA) operation aggregates the ideas of the decision-makers (D-Ms), prioritizing criteria and alternatives. The combined method, blending the Intuitionistic Fuzzy Set (IFS) and TOPSIS, proves highly efficient in determining the most suitable material among alternatives based on established criteria. The findings highlight carbon fiber as the premier choice, suggesting its adoption for enhanced wind turbine blades. Full article

(This article belongs to the Proceedings of 1st International Conference on Industrial, Manufacturing, and Process Engineering (ICIMP-2024))

8 pages, 1135 KiB

Open AccessProceeding Paper

Analyzing the Challenges in the Healthcare System of Bangladesh

by Md Ahsanul Habib and Golam Kabir

Eng. Proc. 2024, 76(1), 15; https://doi.org/10.3390/engproc2024076015 - 16 Oct 2024

Viewed by 334

Abstract

This research aims to comprehensively analyze the influential challenges within the healthcare system of Bangladesh using the DEMATEL–ISM-based Multi-Criteria Decision Analysis (MCDA) approach. The Decision-Making Trial and Evaluation Laboratory (DEMATEL) methodology will be used to identify, evaluate, and prioritize challenges that have a [...] Read more.

This research aims to comprehensively analyze the influential challenges within the healthcare system of Bangladesh using the DEMATEL–ISM-based Multi-Criteria Decision Analysis (MCDA) approach. The Decision-Making Trial and Evaluation Laboratory (DEMATEL) methodology will be used to identify, evaluate, and prioritize challenges that have a notable impact on the efficiency and effectiveness of healthcare delivery in Bangladesh. The ISM methodology will help create hierarchical structures of challenges and explore the interdependencies among different factors. DEMATEL, a robust tool in decision science, will assist in understanding complex relationships among various criteria. Through this approach, this study intends to reveal the interconnections and causal relationships among different challenges, providing a systematic understanding of their impact on the healthcare system. Population growth was found to be the most challenging factor in the healthcare system of Bangladesh. The outcomes of this research are expected to contribute valuable insights to policymakers, healthcare practitioners, and stakeholders involved in the enhancement of the healthcare system in Bangladesh. Full article

(This article belongs to the Proceedings of 1st International Conference on Industrial, Manufacturing, and Process Engineering (ICIMP-2024))

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6 pages, 204 KiB

Open AccessProceeding Paper

Optimization and Forecasting Modelling to Analyse India’s Pursuit of the Sustainable Development Goals in Agenda 2030

by Anas Melethil, Nabil Ahmed Khan, Mohd Azeem, Golam Kabir and Irfan Ali

Eng. Proc. 2024, 76(1), 16; https://doi.org/10.3390/engproc2024076016 - 17 Oct 2024

Viewed by 746

Abstract

The Sustainable Development Goals (SDGs), set in Agenda 2030, are examined in this study, along with India’s progress towards attaining them, and creative solutions based on forecasting and optimization modelling are presented. We investigate the complex alternatives between economic development, mainly focusing on [...] Read more.

The Sustainable Development Goals (SDGs), set in Agenda 2030, are examined in this study, along with India’s progress towards attaining them, and creative solutions based on forecasting and optimization modelling are presented. We investigate the complex alternatives between economic development, mainly focusing on GDP, sustainability—environmental concerns—and employment—a problem at the core of India’s sustainable development. We examine India’s development across several sectors like agriculture, mining, trades, construction, and so on, using a lexicographic goal programming framework, developing a hierarchical structure with four different levels and prioritizing the most important goal. Decisions are made from the highest priority level to the lowest priority level. Research goes beyond assessment by providing practical solutions to problems. A numerical study highlight the applicability of our strategy. By emphasizing the relevance of coordinating progress across decision-making levels for a more equal, prosperous, and sustainable future by 2030, this research delivers customized, context-aware solutions to accelerate India’s achievement of the SDG goals. Full article

(This article belongs to the Proceedings of 1st International Conference on Industrial, Manufacturing, and Process Engineering (ICIMP-2024))

8 pages, 240 KiB

Open AccessProceeding Paper

Formulation and Solution of the Stochastic Truck and Trailer Routing Problem

by Seyedmehdi Mirmohammadsadeghi and Golam Kabir

Eng. Proc. 2024, 76(1), 17; https://doi.org/10.3390/engproc2024076017 - 17 Oct 2024

Viewed by 266

Abstract

In manufacturing and service industries, transportation often faces uncertain conditions. While current research on the truck and trailer routing problem (TTRP) mostly uses deterministic methods, they fall short in addressing uncertainties in travel and service times. This study aims to improve TTRP models [...] Read more.

In manufacturing and service industries, transportation often faces uncertain conditions. While current research on the truck and trailer routing problem (TTRP) mostly uses deterministic methods, they fall short in addressing uncertainties in travel and service times. This study aims to improve TTRP models by incorporating randomness in travel and service durations and specific time windows, better mirroring real-world scenarios. The enhanced model uses the multipoint simulated annealing (M-SA) method for practical application. The study involves 144 benchmark instances across six levels, starting with generating feasible solutions, then refining them using M-SA. A stochastic programming model with recourse (SPR) was used for problem formulation. Sensitivity analysis assessed the impact of various parameters and compared solutions obtained from M-SA and the analysis, showing minimal differences and thus the effectiveness of the proposed algorithm in solving the stochastic TTRP. The paper concludes with suggestions for future research. Full article

(This article belongs to the Proceedings of 1st International Conference on Industrial, Manufacturing, and Process Engineering (ICIMP-2024))

8 pages, 839 KiB

Open AccessProceeding Paper

Strategic Assessment of E-Learning Platform Selection: A Multi-Criteria Decision Analysis for Students in India

by Vyapil S. Patel, Yash Bhavsar and Golam Kabir

Eng. Proc. 2024, 76(1), 18; https://doi.org/10.3390/engproc2024076018 - 17 Oct 2024

Viewed by 301

Abstract

The transformative impact of technological advancements has ushered in a new era in education, digitizing traditional learning approaches into accessible E-learning platforms. In the context of India, where students increasingly rely on digital education, the multitude of available platforms has introduced a challenge: [...] Read more.

The transformative impact of technological advancements has ushered in a new era in education, digitizing traditional learning approaches into accessible E-learning platforms. In the context of India, where students increasingly rely on digital education, the multitude of available platforms has introduced a challenge: selecting the most suitable one. This project addresses this concern by providing information on the optimal E-learning platform. The selection is based on critical criteria such as cost-effectiveness, user experience, technological factors, assessment methods, and the quality of education. To determine the significance of each criterion and rank them, the Fuzzy Analytic Hierarchy Process (Fuzzy-AHP) method is employed. Subsequently, the Fuzzy Technique for Order Preference by Similarity to Ideal Solution (Fuzzy-TOPSIS) is utilized to evaluate and identify the best E-learning platform. The key findings from this research aim to guide students, educators, and institutions in making informed decisions about E-learning platforms, ultimately enhancing the digital learning experience for Indian students. Full article

(This article belongs to the Proceedings of 1st International Conference on Industrial, Manufacturing, and Process Engineering (ICIMP-2024))

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8 pages, 494 KiB

Open AccessProceeding Paper

CO₂ Emissions Projections of the North American Cement Industry

by Ángel Francisco Galaviz Román, Seyedmehdi Mirmohammadsadeghi and Golam Kabir

Eng. Proc. 2024, 76(1), 19; https://doi.org/10.3390/engproc2024076019 - 17 Oct 2024

Viewed by 379

Abstract

Forecasting carbon dioxide (CO₂) emissions has become a relevant issue. International organizations have emphasized the necessity of generating a plan to gradually reduce the concentrations of this pollutant to combat climate change. Cement industries represent one of the key sectors expected [...] Read more.

Forecasting carbon dioxide (CO₂) emissions has become a relevant issue. International organizations have emphasized the necessity of generating a plan to gradually reduce the concentrations of this pollutant to combat climate change. Cement industries represent one of the key sectors expected to solve this problematic. The objective of this study is to predict CO₂ emissions for North American cement industries. To achieve this, a multi-objective mathematical model is developed, integrating various machine learning algorithms. The results demonstrate a considerable improvement in accuracy metrics, with a 48.13% reduction in Mean Absolute Error achieved using the Generalized Reduced Gradient method (GRG). The forecasts reveal an increment in emissions from about 0.58 MtCO₂ every year between 2020 and 2050. The proposed framework can help decision makers and policy makers focus on the technical and logistics requirements to meet net-zero emissions targets. Full article

(This article belongs to the Proceedings of 1st International Conference on Industrial, Manufacturing, and Process Engineering (ICIMP-2024))

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8 pages, 510 KiB

Open AccessProceeding Paper

Risk Assessment of Digital Technologies in Sustainable Supply Chain Management: A Fuzzy VIKOR Method

by Behnoosh Shahidpoorfalah, Sama Hosseini Androod and Golam Kabir

Eng. Proc. 2024, 76(1), 20; https://doi.org/10.3390/engproc2024076020 - 17 Oct 2024

Viewed by 362

Abstract

In recent years, digital technologies have emerged as a key driver of intelligence and visibility in supply chain management, offering companies a competitive edge to enhance sustainability. Despite the various benefits, digitalization introduces risks to supply chain sustainability. This paper aims to assess [...] Read more.

In recent years, digital technologies have emerged as a key driver of intelligence and visibility in supply chain management, offering companies a competitive edge to enhance sustainability. Despite the various benefits, digitalization introduces risks to supply chain sustainability. This paper aims to assess and prioritize these risks using a multi-criteria decision-making method (Fuzzy-VIKOR approach). Drawing from existing literature, criteria, alternatives (risks), and a decision matrix are established. The findings reveal that the risk of a lack of qualifications in information technology skills is the most critical among 12 factors, significantly impacting sustainability performance indicators. This novel approach contributes a fresh perspective to the literature on the risk assessment of digitalization in supply chain sustainability. Full article

(This article belongs to the Proceedings of 1st International Conference on Industrial, Manufacturing, and Process Engineering (ICIMP-2024))

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8 pages, 1050 KiB

Open AccessProceeding Paper

Enhancing Seismic Resilience of Bridge Infrastructure Using Bayesian Belief Network Approach

by Md Saiful Arif Khan, Golam Kabir, Muntasir Billah and Subhrajit Dutta

Eng. Proc. 2024, 76(1), 21; https://doi.org/10.3390/engproc2024076021 - 17 Oct 2024

Viewed by 314

Abstract

The deteriorating state of North America’s bridge infrastructure is a pressing issue, necessitating innovative risk management strategies. This study aims to enhance the seismic resilience of bridge infrastructure using a Bayesian belief network (BBN) model. The research uses literature review, expert opinions, and [...] Read more.

The deteriorating state of North America’s bridge infrastructure is a pressing issue, necessitating innovative risk management strategies. This study aims to enhance the seismic resilience of bridge infrastructure using a Bayesian belief network (BBN) model. The research uses literature review, expert opinions, and a Bayesian analysis framework to quantify bridge resilience, despite the scarcity of detailed historical data. The model, supported by conditional probability tables (CPTs), captures the complex interdependencies among parameters and uncertainties in seismic resilience assessment. Preliminary findings show that integrating expert judgment with BBN provides a robust methodology for assessing and enhancing bridge resilience to seismic hazards. This approach contributes to measuring bridge infrastructure resilience and offers practical guidance for policymakers, engineers, and stakeholders in sustainable transportation network development. Full article

(This article belongs to the Proceedings of 1st International Conference on Industrial, Manufacturing, and Process Engineering (ICIMP-2024))

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6 pages, 1803 KiB

Open AccessProceeding Paper

Failure Modes and Effects Analysis for Automotive Trim Parts Processing

by Dorin-Ion Dumitrascu and Adela-Eliza Dumitrascu

Eng. Proc. 2024, 76(1), 22; https://doi.org/10.3390/engproc2024076022 - 18 Oct 2024

Viewed by 358

Abstract

The paper presents a study related to the implementation of failure modes and effects analysis (FMEA). The analysis consists of the identification, assessment, monitoring, and control of potential failure modes specific to the injection process applied to veneer trim parts. Based on the [...] Read more.

The paper presents a study related to the implementation of failure modes and effects analysis (FMEA). The analysis consists of the identification, assessment, monitoring, and control of potential failure modes specific to the injection process applied to veneer trim parts. Based on the Ishikawa diagram, potential failure modes, effects, and causes of failure can be determined. The assessment results show that the potential risks are mostly located in the medium and high zones. By implementing corrective action, the process is significantly improved, and the potential risks are located in the low and medium zones. From a qualitative point of view, the Pareto chart allows prioritization of the defects that appear for the analyzed manufacturing process. It can be noted that the first two types of identified defects represent 27% of the total defects. Full article

(This article belongs to the Proceedings of 1st International Conference on Industrial, Manufacturing, and Process Engineering (ICIMP-2024))

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9 pages, 2138 KiB

Open AccessProceeding Paper

An Intelligent System Approach for Predicting the Risk of Heart Failure

by Imran Raihan Khan Rabbi, Hamza Zouaghi and Wei Peng

Eng. Proc. 2024, 76(1), 23; https://doi.org/10.3390/engproc2024076023 - 18 Oct 2024

Viewed by 357

Abstract

Heart failure, a chronic and progressive condition where the heart muscle fails to pump sufficient blood for the body’s needs, leads to complications like irregular heartbeat and organ damage. It is a leading cause of death worldwide, with 17.9 million annual fatalities. Often [...] Read more.

Heart failure, a chronic and progressive condition where the heart muscle fails to pump sufficient blood for the body’s needs, leads to complications like irregular heartbeat and organ damage. It is a leading cause of death worldwide, with 17.9 million annual fatalities. Often diagnosed late due to complex, costly screenings, current treatments are less effective at advanced stages, necessitating novel early detection methods. This research develops intelligent systems using a Fuzzy Inference System and Feed Forward Back Propagation Neural Network, focusing on eleven heart-affecting parameters. The study shows artificial intelligence-based models outperform current medical diagnostics in early heart disease detection. The models were evaluated using 221 datasets. The obtained result demonstrates that the performance parameters of the FIS model provide superior results compared to the ANN model. The developed FIS system’s accuracy, precision, sensitivity, and specificity are 90.50%, 90.91%, 90.50%, and 90.31%, respectively. A graphical user interface (GUI) is developed using the MATLAB App Designer tool to facilitate the system’s practical applicability for the end users. Full article

(This article belongs to the Proceedings of 1st International Conference on Industrial, Manufacturing, and Process Engineering (ICIMP-2024))

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9 pages, 226 KiB

Open AccessProceeding Paper

Evaluation of Green Design Strategies Adopted by Architects for Public Buildings in Nigeria

by Bukola Adejoke Adewale, Babatunde Fatai Ogunbayo, Clinton Ohis Aigbavboa and Vincent Onyedikachi Ene

Eng. Proc. 2024, 76(1), 24; https://doi.org/10.3390/engproc2024076024 - 18 Oct 2024

Viewed by 301

Abstract

This study investigates the adoption of green design strategies in Nigerian public buildings, focusing on architects’ perspectives and practices. Through qualitative interviews, architects demonstrated a shift towards sustainability, emphasising passive design, active technologies, water conservation, and sustainable materials. Challenges of the adoption include [...] Read more.

This study investigates the adoption of green design strategies in Nigerian public buildings, focusing on architects’ perspectives and practices. Through qualitative interviews, architects demonstrated a shift towards sustainability, emphasising passive design, active technologies, water conservation, and sustainable materials. Challenges of the adoption include cost constraints and technical complexities, among others. The study recommends that prioritised collaborative action, community engagement, and policy advocacy would facilitate the implementation of green architecture. Despite limitations, the study findings contribute to Nigeria’s architectural landscape sustainability. The study underscores the potential for Nigeria to lead in sustainable architecture, aligning with global goals for climate resilience and environmental stewardship. Full article

(This article belongs to the Proceedings of 1st International Conference on Industrial, Manufacturing, and Process Engineering (ICIMP-2024))

8 pages, 550 KiB

Open AccessProceeding Paper

Sustainability-Related Impacts of Digitalization on Supply Chain Management

by Sama Hosseini Androod, Mahshid Babakhan, Naomi Biroki, Atiyeh Khorasani, Muhammad Roman Aslam and Sharfuddin Khan

Eng. Proc. 2024, 76(1), 25; https://doi.org/10.3390/engproc2024076025 - 18 Oct 2024

Viewed by 588

Abstract

In this era of digitalization, many companies that aim to improve the sustainability of their supply chain utilize digital technologies. Digital technologies have provided the overall supply chain with more transparency, visibility, and real-time data exchange. The purpose of this paper is to [...] Read more.

In this era of digitalization, many companies that aim to improve the sustainability of their supply chain utilize digital technologies. Digital technologies have provided the overall supply chain with more transparency, visibility, and real-time data exchange. The purpose of this paper is to provide an overview of early studies related to the impacts of digitalization on supply chain sustainability. The literature review is carried out by using the PRISMA method (the preferred reporting item for systematic reviews and meta-analyses). To carry out the review, 53 English-language publications were analyzed. The data were collected from Web of Science and Science Direct, and the systematic literature review will consider the impacts of digitalization on supply chain sustainability. Based on the literature, the overall impact of digitalization on supply chain sustainability is positive, but it brings some challenges as well. This paper also identifies potential gaps that were not covered in earlier publications and provides suggestions for future studies. The main contribution of this paper is to provide a complete and up-to-date literature review considering the impact of overall digital technologies on sustainability from a global perspective that summarizes the publications related to this topic. Moreover, in this paper, the challenges or risks of digitalization will be considered, which has received less attention in previous papers. Full article

(This article belongs to the Proceedings of 1st International Conference on Industrial, Manufacturing, and Process Engineering (ICIMP-2024))

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7 pages, 568 KiB

Open AccessProceeding Paper

An Intelligent System for the Early Detection of Prostate Cancer

by Zahra Ehsani, Shuo Li and Wei Peng

Eng. Proc. 2024, 76(1), 26; https://doi.org/10.3390/engproc2024076026 - 18 Oct 2024

Viewed by 355

Abstract

Prostate cancer ranks as the fourth most prevalent cancer in Canada, with mortality rates exhibiting exponential growth among men aged 50 and older and, thus, poses a substantial public health challenge. This paper aims to demonstrate the potential of machine learning in predicting [...] Read more.

Prostate cancer ranks as the fourth most prevalent cancer in Canada, with mortality rates exhibiting exponential growth among men aged 50 and older and, thus, poses a substantial public health challenge. This paper aims to demonstrate the potential of machine learning in predicting prostate cancer based on many of the risk factors as well as attempting to study some of the commonly used machine learning models as a predictor for prostate cancer. In this study, we assess the performance of diverse models, including Random Forest (RF), K-Nearest Neighbors (KNN), Support Vector Machine (SVM), General Linear Model (GLM), and a deep learning approach known as Feed Forward Network (FFN). Notably, our results reveal that the FFN model surpasses the other models in its predictive accuracy for prostate cancer. Full article

(This article belongs to the Proceedings of 1st International Conference on Industrial, Manufacturing, and Process Engineering (ICIMP-2024))

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11 pages, 2825 KiB

Open AccessProceeding Paper

Forecasting Electric Vehicle Adaption Using System Dynamics: A Case Study of Regina, Saskatchewan

by S. M. Rafew, Niamat Ullah Ibne Hossain and Golam Kabir

Eng. Proc. 2024, 76(1), 27; https://doi.org/10.3390/engproc2024076027 - 18 Oct 2024

Viewed by 432

Abstract

The Zero Emission Vehicle (ZEV) mandate by Canada’s federal government is a significant initiative towards achieving net zero emissions by 2050. In this context, to quantify the evolution scale of ZEVs alongside charging pile, a system dynamics (SD)-based policy simulation has been adopted [...] Read more.

The Zero Emission Vehicle (ZEV) mandate by Canada’s federal government is a significant initiative towards achieving net zero emissions by 2050. In this context, to quantify the evolution scale of ZEVs alongside charging pile, a system dynamics (SD)-based policy simulation has been adopted for the city of Regina, Saskatchewan. The vector autoregressive model (VAR) equation is used as an input equation in the SD model for predicting ZEV sales. For model validity, calibration of the data with an available historical dataset alongside a sensitivity analysis has been performed. The SD model with two consecutive scenarios has been simulated until 2036, and “policy 2” has been found to be adequate. Full article

(This article belongs to the Proceedings of 1st International Conference on Industrial, Manufacturing, and Process Engineering (ICIMP-2024))

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7 pages, 708 KiB

Open AccessProceeding Paper

Optimization of the Clothing Industry Manufacturing Process to Improve Efficiency

by Mukondeleli Grace Kanakana-Katumba, Kazeem Aderemi Bello and Georges Kabamanyi Katumba

Eng. Proc. 2024, 76(1), 28; https://doi.org/10.3390/engproc2024076028 - 21 Oct 2024

Viewed by 428

Abstract

The production processes in the clothing industry are labor-intensive; as such, efficiency is reduced due to human error and fatigue. This study aims to streamline the manufacturing process of the clothing industry to improve efficiency. The study employs line balancing, layout redesign, and [...] Read more.

The production processes in the clothing industry are labor-intensive; as such, efficiency is reduced due to human error and fatigue. This study aims to streamline the manufacturing process of the clothing industry to improve efficiency. The study employs line balancing, layout redesign, and value stream mapping to improve efficiency and reduce waste in a clothing industry production line. The study results indicate improved efficiency and productivity due to waste elimination. It is recommended that process improvement tools such as takt time monitoring, line balancing, and layout design be implemented in clothing industries to reduce waste and improve productivity. Full article

(This article belongs to the Proceedings of 1st International Conference on Industrial, Manufacturing, and Process Engineering (ICIMP-2024))

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8 pages, 785 KiB

Open AccessProceeding Paper

Optimizing Strategic Personal Protective Equipment Stockpiling: An Assessment Using Morris Sensitivity Analysis

by Reza Shahin, Martin Beaulieu, Valérie Bélanger and Martin Cousineau

Eng. Proc. 2024, 76(1), 29; https://doi.org/10.3390/engproc2024076029 - 21 Oct 2024

Viewed by 332

Abstract

This paper analyzes healthcare supply chain shortcomings during the COVID-19 pandemic, specifically in supplying personal protective equipment (PPE) to healthcare personnel. It addresses the need for effective PPE stockpile strategies, considering past inadequacies. A linear programming model is presented to determine optimal PPE [...] Read more.

This paper analyzes healthcare supply chain shortcomings during the COVID-19 pandemic, specifically in supplying personal protective equipment (PPE) to healthcare personnel. It addresses the need for effective PPE stockpile strategies, considering past inadequacies. A linear programming model is presented to determine optimal PPE stockpile levels, factoring in unpredictable demand and variable supplier costs. The study includes a comparative analysis of scenarios with and without stockpiling strategies. Moreover, we employ the Morris method for comprehensive sensitivity analysis, focusing on key factors, namely: demand, supply from traditional and non-traditional sources, and stockpile capacity. These insights are vital for policymakers to develop better PPE stockpiling methods, thus improving healthcare crisis management. Full article

(This article belongs to the Proceedings of 1st International Conference on Industrial, Manufacturing, and Process Engineering (ICIMP-2024))

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8 pages, 1924 KiB

Open AccessProceeding Paper

Evaluation of Semiconductor Risk Mitigation Strategies in the Electric Vehicle Supply Chain

by Nishi Panchal, Pranav Topre and Golam Kabir

Eng. Proc. 2024, 76(1), 30; https://doi.org/10.3390/engproc2024076030 - 21 Oct 2024

Viewed by 575

Abstract

The study examines the effects of semiconductor scarcity on the electric vehicle (EV) supply chain caused by an increase in electronics demand after the 2020 automobile industry downturn due to the COVID-19 pandemic. The rising demand for semiconductor chips in the automotive industry, [...] Read more.

The study examines the effects of semiconductor scarcity on the electric vehicle (EV) supply chain caused by an increase in electronics demand after the 2020 automobile industry downturn due to the COVID-19 pandemic. The rising demand for semiconductor chips in the automotive industry, especially in EVs, necessitates strategic measures for original equipment manufacturers and suppliers to strengthen supply chain resilience. This study uses a consequence-based decision-making framework that uses a hybrid Decision-Making Trial and Evaluation Laboratory (DEMATEL) method with Interpretive Structure Modeling (ISM). By leveraging this innovative approach, the research unveils complex causal relationships among supply chain strategies, providing quantifiable insights for prioritizing resilience in the face of multifaceted risks such as trade wars, regulatory changes, and raw material shortages. In addition, the study enhances our comprehension of supply chain resilience within the electric vehicle sector by illuminating aspects that have not been thoroughly examined by the Multi-Criteria Decision Analysis (MCDA) technique employed in this research. The analysis includes the adoption of multisourcing, fostering ecosystem partnerships, and improving supply chain visibility. Through these novel insights, this analysis aims to empower stakeholders and small- to medium-sized enterprises to navigate future automotive market dynamics, with a focus on evolving manufacturer–supplier relationships in the midst of technological advancements. Full article

(This article belongs to the Proceedings of 1st International Conference on Industrial, Manufacturing, and Process Engineering (ICIMP-2024))

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7 pages, 801 KiB

Open AccessProceeding Paper

A Comprehensive Review of the Benefits of Virtual Reality Application for Facilities Management in the Construction Industry

by Oluwaseun Raimi, Babatunde Ogunbayo and Clinton Aigbavboa

Eng. Proc. 2024, 76(1), 31; https://doi.org/10.3390/engproc2024076031 - 21 Oct 2024

Viewed by 415

Abstract

Facilities management (FM) is pivotal in ensuring the efficient operation of built environments essential for organisational functions. However, buildings’ operation and maintenance stages often incur significant costs, emphasising the importance of effective FM practices. Digital technology, particularly Virtual Reality (VR), offers innovative solutions [...] Read more.

Facilities management (FM) is pivotal in ensuring the efficient operation of built environments essential for organisational functions. However, buildings’ operation and maintenance stages often incur significant costs, emphasising the importance of effective FM practices. Digital technology, particularly Virtual Reality (VR), offers innovative solutions to enhance FM in the construction industry. Despite its potential benefits, VR adoption faces various barriers, such as financial constraints and a lack of standardisation, expertise, and awareness. This study aims to explore the application benefits of VR in FM within the South African construction industry, addressing the knowledge gap in the existing literature. A comprehensive literature review identifies key benefits of VR application for FM. Strategies to improve VR implementation include the development of cost-effective solutions, extensive training programs, and collaborative initiatives with stakeholders and government agencies. By leveraging VR technology, FM practices can be revolutionised, improving safety, communication, and project optimisation. This study provides insights into overcoming challenges and harnessing the transformative potential of VR in FM, paving the way for a more efficient, safe, and sustainable built environment in the South African construction industry. Full article

(This article belongs to the Proceedings of 1st International Conference on Industrial, Manufacturing, and Process Engineering (ICIMP-2024))

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6 pages, 1126 KiB

Open AccessProceeding Paper

Quality Defects Analysis for Manufacturing Processes of Automotive Trim Parts

by Dorin-Ion Dumitrascu, Alexandru-Nicolae Rusu and Adela-Eliza Dumitrascu

Eng. Proc. 2024, 76(1), 32; https://doi.org/10.3390/engproc2024076032 - 21 Oct 2024

Viewed by 337

Abstract

In this paper, an assessment of the quantitative and qualitative defects involved in automotive veneer trim parts manufacturing has been presented. The comparative qualitative analyses were carried out using Poisson process capability estimation and a Pareto chart. The visual surface inspection of the [...] Read more.

In this paper, an assessment of the quantitative and qualitative defects involved in automotive veneer trim parts manufacturing has been presented. The comparative qualitative analyses were carried out using Poisson process capability estimation and a Pareto chart. The visual surface inspection of the veneer trims was aimed to identify the types of defects resulting from the manufacturing process. The results indicate that the percentage of defects for the first sample are between 2.1% and 4.4% and the values for the second category are situated between 1.2% and 2.2%. Using 95% confidence intervals (CIs), the main statistical parameters were estimated. Also, the inferential analysis highlights that the specified acceptable percentage of rejects was not exceeded. Full article

(This article belongs to the Proceedings of 1st International Conference on Industrial, Manufacturing, and Process Engineering (ICIMP-2024))

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8 pages, 229 KiB

Open AccessProceeding Paper

A Systematic Review of Client Satisfaction and Success Factors in BIM-Enabled Projects

by Olusayo Ayobami Bamgbose, Babatunde Fatai Ogunbayo, Clinton Ohis Aigbavboa and Kunle Elizah Ogundipe

Eng. Proc. 2024, 76(1), 33; https://doi.org/10.3390/engproc2024076033 - 21 Oct 2024

Viewed by 484

Abstract

The adoption of building information modelling in construction projects has a transformative impact, driving improvements in collaboration, efficiency, quality, sustainability, and regulatory compliance throughout the project lifecycle. This systematic review examines client satisfaction and success factors in BIM-enabled projects. Building information has emerged [...] Read more.

The adoption of building information modelling in construction projects has a transformative impact, driving improvements in collaboration, efficiency, quality, sustainability, and regulatory compliance throughout the project lifecycle. This systematic review examines client satisfaction and success factors in BIM-enabled projects. Building information has emerged as a transformative technology in the construction industry, promising enhanced collaboration, efficiency, and project outcomes. Understanding client satisfaction and the factors contributing to project success in BIM-enabled projects is crucial for stakeholders aiming to maximise the benefits of BIM adoption. Through a comprehensive analysis of existing literature, this review synthesises key findings related to client satisfaction levels, as well as the critical success factors influencing project outcomes in BIM-enabled environments. The review highlights the importance of effective communication, collaboration, stakeholder engagement, and technological infrastructure in ensuring client satisfaction and project success. Additionally, it identifies gaps in current research and offers recommendations for future studies to further advance our understanding of client satisfaction and success factors in BIM-enabled projects. Full article

(This article belongs to the Proceedings of 1st International Conference on Industrial, Manufacturing, and Process Engineering (ICIMP-2024))

8 pages, 561 KiB

Open AccessProceeding Paper

Aligning Supply Chain Functions with Emerging Technologies: A Strategic Approach

by Muhammad Huzaifa Najmi, S. M. Anas Iqbal and Sharfuddin Khan

Eng. Proc. 2024, 76(1), 34; https://doi.org/10.3390/engproc2024076034 - 21 Oct 2024

Viewed by 563

Abstract

This paper delves into the changing landscape of supply chain management, exploring the influence of advanced technologies like blockchain, the Internet of Things (IoT), artificial intelligence (AI), and machine learning (ML). Using a comprehensive PRISMA-based approach, we sift through literature, real-world applications, and [...] Read more.

This paper delves into the changing landscape of supply chain management, exploring the influence of advanced technologies like blockchain, the Internet of Things (IoT), artificial intelligence (AI), and machine learning (ML). Using a comprehensive PRISMA-based approach, we sift through literature, real-world applications, and success stories to uncover key insights. From established technologies like AI and ML to emerging players like IoT and blockchain, we highlight their continuous evolution. The paper details practical applications across various supply chain functions and acknowledges research gaps, emphasizing challenges like scalability and interoperability. Ultimately, it underscores the transformative potential of these technologies, positioning supply chains as intelligent entities shaping the future of global commerce in Industry 4.0. Full article

(This article belongs to the Proceedings of 1st International Conference on Industrial, Manufacturing, and Process Engineering (ICIMP-2024))

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8 pages, 422 KiB

Open AccessProceeding Paper

Advancing Circular Supply Chain Management for Mobile Phones: Investigating the Minimization of E-Waste and Its Environmental Consequences

by Vyapil S. Patel, Apurv M. Vasani, Ammar N. Patel, Gaurav A. Viradiya and Sharfuddin Ahmed Khan

Eng. Proc. 2024, 76(1), 35; https://doi.org/10.3390/engproc2024076035 - 22 Oct 2024

Viewed by 382

Abstract

Electronic waste is a global problem in our tech-driven age and is becoming more and more so as new devices are released and tonnes of electronics are thrown away. The objective of this study is to determine which materials are essential in electronic [...] Read more.

Electronic waste is a global problem in our tech-driven age and is becoming more and more so as new devices are released and tonnes of electronics are thrown away. The objective of this study is to determine which materials are essential in electronic waste, to evaluate the environmental impact of those materials, and to investigate the ways in which implementing a circular supply chain and circular economy principles can support economic expansion. This study identifies valuable materials like gold, silver, copper, palladium, cobalt, mercury, and lithium using the Prisma approach and a quantitative method. Mercury is found to have a significant environmental impact. With its special insights into material disposal and environmental consequences, the practical application highlights profitability and material waste reduction in multinational cell phone manufacturing companies. Full article

(This article belongs to the Proceedings of 1st International Conference on Industrial, Manufacturing, and Process Engineering (ICIMP-2024))

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11 pages, 575 KiB

Open AccessProceeding Paper

A Comprehensive Asset Management Plan for the Bridges of Ontario for 2023–2025

by Chowdhury Sakib-Uz-Zaman, Md Ainul Kabir and Golam Kabir

Eng. Proc. 2024, 76(1), 36; https://doi.org/10.3390/engproc2024076036 - 22 Oct 2024

Viewed by 252

Abstract

Bridges, like any other infrastructure, deteriorate over time, and the more they degrade, the more expensive it becomes to perform maintenance activities on them. Therefore, it is important to predict their deterioration and plan intervention programs from economic and functionality points of view. [...] Read more.

Bridges, like any other infrastructure, deteriorate over time, and the more they degrade, the more expensive it becomes to perform maintenance activities on them. Therefore, it is important to predict their deterioration and plan intervention programs from economic and functionality points of view. While deterministic models are used to predict the deterioration of a structure, they do not consider any maintenance activities carried out beforehand. In this paper, we adjusted the deterioration model to overcome those limitations and planned an intervention program for the bridges of Ontario for 2023–2025. To achieve this, we cleaned the dataset; formulated the models; ran simulations with multiple deterministic and stochastic models to find the best one; adjusted the model equation to account for various levels of previous maintenance works; formulated the intervention action requirement for the next three years by developing an algorithm to reflect previous maintenance trends and their effects on the condition ratings; prepared an equalized work requirement for each year; and prioritized the action requirements based on a proposed risk matrix. Finally, an exhaustive plan with an action requirement for all the bridges was prepared for 2023–2025. The proposed plan will help decision makers to take proper action to maintain the serviceability of the bridges. Full article

(This article belongs to the Proceedings of 1st International Conference on Industrial, Manufacturing, and Process Engineering (ICIMP-2024))

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8 pages, 1270 KiB

Open AccessProceeding Paper

A Bibliometric Analysis and Systematic Review of Productivity Management-Related Studies

by Ntwanano Mueti, Babatunde Fatai Ogunbayo and Clinton Aigbavboa

Eng. Proc. 2024, 76(1), 37; https://doi.org/10.3390/engproc2024076037 - 23 Oct 2024

Viewed by 351

Abstract

Purpose—This study examines the relationships among factors that can potentially influence the effectiveness of operations management in real-time productivity accounting data that can measure the real-time performance of any business operations. The focus is to develop and research this area of productivity management [...] Read more.

Purpose—This study examines the relationships among factors that can potentially influence the effectiveness of operations management in real-time productivity accounting data that can measure the real-time performance of any business operations. The focus is to develop and research this area of productivity management to advance its implementation and adoption in improving business operations. The study objective is to review productivity management-related fields to reveal the location of attention of previous studies. A bibliometric analysis was adopted for this investigation, and data were gathered from the Web of Science (ISI). Keywords such as “Productivity management”, “Productivity measurement”, and “Productivity Improvement” were selected to source documentation from the database. VOSviewer was chosen as the most advanced system that can be used to formulate a co-authorship and co-occurrence map based on the bibliographic data gathered. The study findings discovered that the emphasis is placed on time, systems, impact, work, cost, and labour productivity. The research findings exposed a knowledge gap in the literature that can be explored in emerging countries, predominantly, in Africa, to improve operations management by improving productivity measurements within the continent. Full article

(This article belongs to the Proceedings of 1st International Conference on Industrial, Manufacturing, and Process Engineering (ICIMP-2024))

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8 pages, 587 KiB

Open AccessProceeding Paper

A Machine Learning-Based Corrosion Level Prediction in the Oil and Gas Industry

by Alok Madamanchi, Fazla Rabbi, Alexandr M. Sokolov and Niamat Ullah Ibne Hossain

Eng. Proc. 2024, 76(1), 38; https://doi.org/10.3390/engproc2024076038 - 23 Oct 2024

Viewed by 311

Abstract

The oil and gas industries are facing several industry-specific barriers which include process improvements, ignorance of complex operations, equipment management, logistics operations, etc. However, the enormous amount of data that are being produced by this industry, and the implementation of analytics, can overcome [...] Read more.

The oil and gas industries are facing several industry-specific barriers which include process improvements, ignorance of complex operations, equipment management, logistics operations, etc. However, the enormous amount of data that are being produced by this industry, and the implementation of analytics, can overcome these challenges. This project aims to put forth a step-by-step procedure to preprocess data and utilize data analytics tools to provide meaningful insights to make business intelligent decisions for companies. The results from this research will be presented in data preprocessing procedures, the use of analytics, and machine learning applications in the O&G industry. Full article

(This article belongs to the Proceedings of 1st International Conference on Industrial, Manufacturing, and Process Engineering (ICIMP-2024))

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7 pages, 196 KiB

Open AccessProceeding Paper

Evaluating the Drivers of Cloud Data Management Usage in the South African Construction Industry

by Wanda Buhle Mpingana, Opeoluwa Akinradewo, Clinton Aigbavboa and Sharfuddin Ahmed Khan

Eng. Proc. 2024, 76(1), 39; https://doi.org/10.3390/engproc2024076039 - 24 Oct 2024

Viewed by 300

Abstract

This study explores the drivers of cloud data management (CDM) usage in the South African built environment. A quantitative research approach was adopted for this study through the use of a well-structured questionnaire distributed to construction professionals and IT experts in Gauteng province, [...] Read more.

This study explores the drivers of cloud data management (CDM) usage in the South African built environment. A quantitative research approach was adopted for this study through the use of a well-structured questionnaire distributed to construction professionals and IT experts in Gauteng province, South Africa. Principal component analysis (PCA) and descriptive statistics procedures were used to analyse the retrieved data. The findings revealed that the most significant drivers for using CDM services are sustainable data management, improved project life cycle management, and technological advancement. This study concluded that technological progress and sustainability in the construction industry drive CDM usage. Full article

(This article belongs to the Proceedings of 1st International Conference on Industrial, Manufacturing, and Process Engineering (ICIMP-2024))

9 pages, 656 KiB

Open AccessProceeding Paper

Green Algorithms: The Impact of Artificial Intelligence on Environmental Sustainability

by Syed Imran Zaman, Shafaq Tariq Jadoon and Sharfuddin Ahmed Khan

Eng. Proc. 2024, 76(1), 40; https://doi.org/10.3390/engproc2024076040 - 24 Oct 2024

Viewed by 595

Abstract

This study examines how artificial intelligence (AI) can support environmental sustainability. Many businesses use AI technologies to enhance environmental sustainability and motivate customers to adopt eco-friendly practices. We investigate how these factors affect the adoption of sustainable products through an empirical study involving [...] Read more.

This study examines how artificial intelligence (AI) can support environmental sustainability. Many businesses use AI technologies to enhance environmental sustainability and motivate customers to adopt eco-friendly practices. We investigate how these factors affect the adoption of sustainable products through an empirical study involving a variety of types of consumers. Our study’s findings have major implications for the academic and business communities. Marketing professionals and decision-makers can learn substantial information about how to use AI technologies to engage customers and advance environmental well-being. Organizations can create targeted strategies that promote sustainable behaviors and have a positive impact on the environment by understanding the factors that influence product adoption. Full article

(This article belongs to the Proceedings of 1st International Conference on Industrial, Manufacturing, and Process Engineering (ICIMP-2024))

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9 pages, 942 KiB

Open AccessProceeding Paper

Analyzing Supply Chain Risks and Resilience Strategies: A Systematic Literature Review

by Shahanaj Sultana, Nayan Paul, Maliha Tasmin, Arnab Kanti Dutta and Sharfuddin Ahmed Khan

Eng. Proc. 2024, 76(1), 41; https://doi.org/10.3390/engproc2024076041 - 25 Oct 2024

Cited by 1 | Viewed by 906

Abstract

Today’s competitive business environment is filled with various risks and uncertainties, and companies are trying to adopt strategies to deal with them, as they are involved in their supply chains, while also attempting to make their strategies resilient enough. This paper investigates the [...] Read more.

Today’s competitive business environment is filled with various risks and uncertainties, and companies are trying to adopt strategies to deal with them, as they are involved in their supply chains, while also attempting to make their strategies resilient enough. This paper investigates the types of risks involved in the supply chain and determines strategies to deal with them from the perspective of the original equipment manufacturing industry. A systematic literature review is conducted for risk and strategy identification and some proposals are also given on how to incorporate these findings in the supply chain of original equipment manufacturing. Full article

(This article belongs to the Proceedings of 1st International Conference on Industrial, Manufacturing, and Process Engineering (ICIMP-2024))

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8 pages, 244 KiB

Open AccessProceeding Paper

Microcontact Printing of Polymeric Devices: Fabrication Techniques, Applications, and Challenges

by Chowdhury Sakib-Uz-Zaman and Mohammad Abu Hasan Khondoker

Eng. Proc. 2024, 76(1), 42; https://doi.org/10.3390/engproc2024076042 - 28 Oct 2024

Viewed by 310

Abstract

Microcontact printing (µCP) has become an emerging method for creating exact patterns on a range of substrates. This short review paper seeks to give a brief summary of the developments, fabrication techniques, applications, and difficulties in the microcontact printing of polymeric devices. In [...] Read more.

Microcontact printing (µCP) has become an emerging method for creating exact patterns on a range of substrates. This short review paper seeks to give a brief summary of the developments, fabrication techniques, applications, and difficulties in the microcontact printing of polymeric devices. In this systematic review, 20 papers from various fields were chosen for study. This review begins by introducing the basics of microcontact printing and discussing its capacity to transfer predetermined patterns with submicron resolution from an elastomeric stamp to substrates. Then, various microcontact printing production techniques for polymeric devices are reviewed. Furthermore, this review explores the broad range of applications enabled by microcontact printing, including electronics, biotechnology, nanotechnology, and surface engineering. Additionally, the potential difficulties and challenges associated with using microcontact printing processes are discussed. This literature review is to give researchers and practitioners a thorough understanding of microcontact printing by integrating the results from a few chosen studies. It promotes additional study and innovation in this promising sector by highlighting the most recent advancements, manufacturing techniques, and difficulties related to the manufacture of polymeric devices. Full article

(This article belongs to the Proceedings of 1st International Conference on Industrial, Manufacturing, and Process Engineering (ICIMP-2024))

7 pages, 5190 KiB

Open AccessProceeding Paper

Sustainable Structures Unveiled: Navigating the Environmental Landscape of 3D Printing in Construction

by Arash Motalebi, Mohammad Abu Hasan Khondoker and Golam Kabir

Eng. Proc. 2024, 76(1), 44; https://doi.org/10.3390/engproc2024076044 - 28 Oct 2024

Viewed by 371

Abstract

This study addresses the imperative for sustainability in the construction industry, focusing on the environmental impact of a specific 3D printing method. Leveraging insights from an engineering-orientated 3D printing project, diverse scenarios are explored, and a cradle-to-gate life cycle assessment (LCA) is conducted [...] Read more.

This study addresses the imperative for sustainability in the construction industry, focusing on the environmental impact of a specific 3D printing method. Leveraging insights from an engineering-orientated 3D printing project, diverse scenarios are explored, and a cradle-to-gate life cycle assessment (LCA) is conducted using SimaPro 9.5.0 software. The study reveals the efficacy of a mix design with fly ash and furnace slag as a binder, demonstrating lower environmental impacts in various categories. However, the inclusion of silicate in geo-polymer concrete raises ecological concerns due to the high energy requirements for production. Additionally, substituting sand with sawdust results in a substantial reduction in CO₂ emissions, highlighting the environmental benefits of incorporating by-product materials into building practices. Full article

(This article belongs to the Proceedings of 1st International Conference on Industrial, Manufacturing, and Process Engineering (ICIMP-2024))

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8 pages, 637 KiB

Open AccessProceeding Paper

Evaluating 3D Printing Parameters of an Elastomeric Resin for Higher Stretchability and Strength Using the Analytic Hierarchy Process and Technique for Order of Preference by Similarity to Ideal Solution

by Rawan Elsersawy, Golam Kabir and Mohammad Abu Hasan Khondoker

Eng. Proc. 2024, 76(1), 45; https://doi.org/10.3390/engproc2024076045 - 28 Oct 2024

Viewed by 234

Abstract

The fast progress of 3D printing technology has resulted in the creation of innovative materials, such as elastic resins, broadening the field of applications in various sectors. This paper investigates the effect of printing parameters on the strength and elongation of the final [...] Read more.

The fast progress of 3D printing technology has resulted in the creation of innovative materials, such as elastic resins, broadening the field of applications in various sectors. This paper investigates the effect of printing parameters on the strength and elongation of the final part, as well as optimizing elastic resin 3D printing processes using the Analytic Hierarchy Process (AHP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) analyses. In this analysis, the printing parameters post-curing time, exposure time, aging conditions, rotation direction, rest time after lift, photoinitiator effect, and aging time are considered criteria. The report finishes with recommendations for the most effective parameter settings for the best sample elongation (ε) and tensile strength (E). Full article

(This article belongs to the Proceedings of 1st International Conference on Industrial, Manufacturing, and Process Engineering (ICIMP-2024))

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9 pages, 680 KiB

Open AccessProceeding Paper

Metal Culvert Renewal Prioritization Framework Using Fuzzy Inference System

by Pooneh Marzbani, Golam Kabir and Niamat Ullah Ibne Hossain

Eng. Proc. 2024, 76(1), 46; https://doi.org/10.3390/engproc2024076046 - 25 Oct 2024

Viewed by 187

Abstract

Saskatchewan boasts an extensive road network, spanning over 250,000 km and featuring more than 26,500 culverts that facilitate the flow of water. Ensuring the timely replacement of these culverts is of paramount importance to prevent potential disasters and safeguard water quality. This research [...] Read more.

Saskatchewan boasts an extensive road network, spanning over 250,000 km and featuring more than 26,500 culverts that facilitate the flow of water. Ensuring the timely replacement of these culverts is of paramount importance to prevent potential disasters and safeguard water quality. This research focuses on the prioritization of infrastructure renewal, with a particular emphasis on metal culverts. This study undertakes a rigorous evaluation of two statistical and computational methods—ordinal logistic regression and a fuzzy inference system—through an exhaustive examination of 1000 metal culverts situated along Saskatchewan’s highway network. Performance evaluation metrics, including area under the curve, percentage of correct predictions, confusion matrix analysis, accuracy, precision, recall, and the F1 score, consistently highlight the fuzzy inference system method as the superior and most efficacious approach for prioritizing culvert renewal within this crucial infrastructure context. Full article

(This article belongs to the Proceedings of 1st International Conference on Industrial, Manufacturing, and Process Engineering (ICIMP-2024))

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6 pages, 462 KiB

Open AccessProceeding Paper

Optimization of Printing Parameters for Extrusion 3D Printing of Ceramic Clay

by Romina Donyadari, Barbara Ferruzca Ortiz and Mohammad Abu Hasan Khondoker

Eng. Proc. 2024, 76(1), 47; https://doi.org/10.3390/engproc2024076047 - 28 Oct 2024

Viewed by 345

Abstract

With substantial advancements in the additive manufacturing (AM) of polymers and metals in the last few decades, the AM of ceramic material has recently gained research traction. Manufacturing complex ceramic parts is an extremely challenging process that can be revolutionized by AM. While [...] Read more.

With substantial advancements in the additive manufacturing (AM) of polymers and metals in the last few decades, the AM of ceramic material has recently gained research traction. Manufacturing complex ceramic parts is an extremely challenging process that can be revolutionized by AM. While many industrial-grade expensive AM systems are available for printing ceramic parts, the use of inexpensive desktop-type extrusion AM systems for ceramic parts is particularly challenging, which mandates printing parameter optimization. In this paper, the printing parameters of an inexpensive extrusion AM system, such as layer height, line width, extrusion speed, infill, and flow percentage, were optimized, which resulted in ceramic parts with desired qualities in terms of part density. For this, Clay Body 370 was chosen to produce clay with different percentages of water content ranging from 5% to 15%. Printed samples were subjected to sintering in a furnace to sinter at 1100 °C, followed by shrinkage and weight loss measurements. Finally, the printing parameters that resulted in good surface quality and less dimensional shrinkage with higher compression strength were reported. Full article

(This article belongs to the Proceedings of 1st International Conference on Industrial, Manufacturing, and Process Engineering (ICIMP-2024))

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8 pages, 1179 KiB

Open AccessProceeding Paper

Cardiovascular Risk Prediction Through Stacking Classifier

by Fazla Rabbi, Saroj Raut and Niamat Ullah Ibne Hossain

Eng. Proc. 2024, 76(1), 48; https://doi.org/10.3390/engproc2024076048 - 28 Oct 2024

Viewed by 339

Abstract

Enormous amounts of patient data, including information on their liver, diabetes, heart, and maternal health, are being generated by medical sectors. Among them, cardiovascular diseases (CVD) are thought to be the deadliest, posing the greatest health risk to mortality by causing silent and [...] Read more.

Enormous amounts of patient data, including information on their liver, diabetes, heart, and maternal health, are being generated by medical sectors. Among them, cardiovascular diseases (CVD) are thought to be the deadliest, posing the greatest health risk to mortality by causing silent and not transmissible death. The preventive approach requires an examination of health records which is quite difficult; therefore, adopting machine learning (ML) technology that identifies early CVD is necessary. In this work, we used three different boosting techniques, namely, AdaBoost, gradient boosting, XgBoost, and stacked boosting algorithms, as well as a combination of these algorithms with and without hyperparameter tuning to predict CVD patients. Our analysis showed that, compared to a single boosting model, the recall score of the stacked boosting algorithm is much higher, demonstrating a 92.85% recall score after using hyperparameter tuning. Our predicted model will help hospital associates to take preventive measures in these cases as well as properly allocate the resources for hospital managers and, lastly, reduce the financial burdens of the patients. Full article

(This article belongs to the Proceedings of 1st International Conference on Industrial, Manufacturing, and Process Engineering (ICIMP-2024))

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7 pages, 4437 KiB

Open AccessProceeding Paper

Design and Flow Simulation of Resin Dispensing System for UV Laser-Based Extrusion 3D Printing Technique

by Chowdhury Sakib-Uz-Zaman and Mohammad Abu Hasan Khondoker

Eng. Proc. 2024, 76(1), 49; https://doi.org/10.3390/engproc2024076049 - 29 Oct 2024

Viewed by 222

Abstract

Stereolithography (SLA) is a 3D printing technology that uses a laser to cure liquid resin from a tank, layer by layer, to create highly detailed and precise objects. However, this 3D printing technique requires a large amount of resin material to be placed [...] Read more.

Stereolithography (SLA) is a 3D printing technology that uses a laser to cure liquid resin from a tank, layer by layer, to create highly detailed and precise objects. However, this 3D printing technique requires a large amount of resin material to be placed in the bath that is exposed to UV each time a layer is printed. On the other hand, extrusion 3D printing offers the printing of a part by dispensing only the desired amount of material on demand. However, extrusion 3D printing does not result in the intricate high-resolution features that can be achieved in SLA. To be able to 3D-print high-resolution parts without needing a large resin bath, a dispensing system was designed that would deposit only the required amount of resin on demand while high-resolution capability is achieved by curing the deposited resin using a UV laser. To ensure the isotropic properties of the printed parts, fluid flow simulations of the polymer resin through the designed dispensing system were performed. Therefore, the primary objectives were twofold: (1) designing a resin dispensing system including a specialized nozzle to promote laminar flow and (2) conducting fluent simulations to analyze the nozzle’s performance. The fluent simulations provided valuable insights into the fluid dynamics, affirming the nozzle’s efficiency in ensuring a consistent and controlled laminar flow of the resin during the dispensing process. Full article

(This article belongs to the Proceedings of 1st International Conference on Industrial, Manufacturing, and Process Engineering (ICIMP-2024))

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8 pages, 2604 KiB

Open AccessProceeding Paper

Analytical Framework Development for Industrial Standardization—A WHO-Guided Pharmaceutical Water Management System

by Muhammad Huzaifa Najmi and Sharfuddin Ahmed Khan

Eng. Proc. 2024, 76(1), 50; https://doi.org/10.3390/engproc2024076050 - 29 Oct 2024

Viewed by 257

Abstract

This paper presents a comprehensive framework for standardizing water systems in the pharmaceutical industry, aligning with WHO guidelines. Initially aimed at rectifying water systems in Pakistan, this study expanded to develop a versatile implementation structure applicable to various guidelines. The methodology integrates a [...] Read more.

This paper presents a comprehensive framework for standardizing water systems in the pharmaceutical industry, aligning with WHO guidelines. Initially aimed at rectifying water systems in Pakistan, this study expanded to develop a versatile implementation structure applicable to various guidelines. The methodology integrates a Process and Instrumentation Diagram (P&ID) with an Excel-based evaluation tool, facilitating systematic assessment against WHO standards. Challenges such as limited flexibility and complexity of use are acknowledged, suggesting the need for ongoing refinement. Future research directions include automated assessment tools, integration with IoT and data analytics, enhanced customization, and integration with regulatory databases. Overall, this study emphasizes the importance of structured evaluation methodologies and innovative tools in ensuring regulatory compliance and continuous improvement of industrial systems. Full article

(This article belongs to the Proceedings of 1st International Conference on Industrial, Manufacturing, and Process Engineering (ICIMP-2024))

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8 pages, 2713 KiB

Open AccessProceeding Paper

Parametric Study on Cellular Negative Stiffness Honeycomb Meta-Structures: Effect on the Energy Absorption Performance

by Sumit Chanda, Abdul Hasib, Arafater Rahman and M A Wadud

Eng. Proc. 2024, 76(1), 51; https://doi.org/10.3390/engproc2024076051 - 29 Oct 2024

Viewed by 277

Abstract

This study investigates cellular negative stiffness honeycomb (NSH) structures in the prospect of energy absorption and vibration isolation. The energy absorption properties for different geometrical parameters have been investigated for a specific displacement in the range of linear compression. The force–displacement characteristics of [...] Read more.

This study investigates cellular negative stiffness honeycomb (NSH) structures in the prospect of energy absorption and vibration isolation. The energy absorption properties for different geometrical parameters have been investigated for a specific displacement in the range of linear compression. The force–displacement characteristics of NSH structures with various AM materials have been investigated using the finite element analysis method. The results have revealed the parametric relation of the NSH with the energy absorbed, specific energy absorption, stiffness, and compressive stress. The analysis highlights the NSH structures’ potential to enhance material efficiency and performance optimization, contributing to material and manufacturing engineering. Full article

(This article belongs to the Proceedings of 1st International Conference on Industrial, Manufacturing, and Process Engineering (ICIMP-2024))

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9 pages, 1097 KiB

Open AccessProceeding Paper

A Novel SFDN+DNN Approach for Efficient Hand Movement Recognition Using Surface Electromyography Signals

by Amin Khorram, Huang Lin and Wei Peng

Eng. Proc. 2024, 76(1), 52; https://doi.org/10.3390/engproc2024076052 - 29 Oct 2024

Viewed by 263

Abstract

Surface electromyography (sEMG) signal classification is pivotal for evaluating neuromuscular function, especially in applications like rehabilitation and prosthetics. This paper introduces a novel Deep Neural Network (DNN) approach based on a Smooth, Filled outliers, Detrended, and Normalized (SFDN) dataset for SEMG signal classification [...] Read more.

Surface electromyography (sEMG) signal classification is pivotal for evaluating neuromuscular function, especially in applications like rehabilitation and prosthetics. This paper introduces a novel Deep Neural Network (DNN) approach based on a Smooth, Filled outliers, Detrended, and Normalized (SFDN) dataset for SEMG signal classification in hand movement recognition. Through a comparative study with existing methods, our results highlight SFDN+DNN’s remarkable classification accuracy—99.63%, 95.56%, and 96.14% on the UCI, Ninapro DB6, and Mendeley datasets, respectively. Notably, this approach offers online training capabilities at a low cost, presenting a significant advancement over traditional methods. Our findings suggest SFDN+DNN’s potential in enhancing the efficiency of mechanical prosthetic hands, bridging the gap toward quasi-real-hand capabilities. Full article

(This article belongs to the Proceedings of 1st International Conference on Industrial, Manufacturing, and Process Engineering (ICIMP-2024))

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6 pages, 1497 KiB

Open AccessProceeding Paper

Nanofiber-Filled Alginate–Gelatine Hybrid Hydrogel: Rheology and Shape Fidelity of 3D-Printed Scaffold

by Rokeya Sarah, Benjamin Szum and Ahasan Habib

Eng. Proc. 2024, 76(1), 53; https://doi.org/10.3390/engproc2024076053 - 29 Oct 2024

Viewed by 624

Abstract

This study explored extrusion-based 3D bioprinting as a method for depositing cell-laden bio-ink to create well-defined scaffolds for tissue regeneration. Natural hydrogels, known for their biocompatibility and low cell toxicity, were favored for bio-ink formulation in this process. However, their limited mechanical strength [...] Read more.

This study explored extrusion-based 3D bioprinting as a method for depositing cell-laden bio-ink to create well-defined scaffolds for tissue regeneration. Natural hydrogels, known for their biocompatibility and low cell toxicity, were favored for bio-ink formulation in this process. However, their limited mechanical strength poses a challenge to maintaining structural integrity. To address this, the rheological properties of hybrid hydrogels containing cellulose-derived nanofiber (TONFC) at concentrations between 0.5% and 1.0%, along with alginate and gelatin at levels between 2% and 5%, were tested in this study. A total of eight formulations was created by adjusting the proportions of alginate, TO-NFC, and gelatin, resulting in a combined solid content of 8%. Various rheological properties, such as the flow behavior, recovery rate, and linear viscoelastic range, were analyzed. Bi-layer scaffolds were 3D printed with various compositions and the shape fidelity was investigated. Human mesenchymal stem cells (hMSCs) were mixed to prepare bio-ink and cell survivability was observed after 7 incubation days. The ability to control 3D printability and the favorable survival of cells make nanofiber-infused alginate–gelatin a promising option for creating precisely shaped scaffolds using the 3D bio-printing process. Full article

(This article belongs to the Proceedings of 1st International Conference on Industrial, Manufacturing, and Process Engineering (ICIMP-2024))

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7 pages, 3402 KiB

Open AccessProceeding Paper

Characterization of Post-Sintering Shrinkage of Ceramic-Based Lattice Structures Printed Using LCD Resin Printer

by Md Rashid Alam and Mohammad Abu Hasan Khondoker

Eng. Proc. 2024, 76(1), 54; https://doi.org/10.3390/engproc2024076054 - 29 Oct 2024

Viewed by 278

Abstract

Unlike polymers and metals, additive manufacturing (AM) of ceramic parts has only recently become an increasingly important technology, thanks to ceramic’s exceptional thermal and chemical properties. Most of the AM-processed ceramic parts must undergo a sintering process that adds additional challenges. Managing post-sintering [...] Read more.

Unlike polymers and metals, additive manufacturing (AM) of ceramic parts has only recently become an increasingly important technology, thanks to ceramic’s exceptional thermal and chemical properties. Most of the AM-processed ceramic parts must undergo a sintering process that adds additional challenges. Managing post-sintering shrinkage remains a critical challenge that impacts the dimensional accuracy and integrity of the final printed components. This is particularly important for intricate designs if the part has triply periodic minimal surface lattice structures. This study systematically analyzes the effect of lattice parameters, namely cell sizes along the X, Y, and Z axes, lattice type, and wall thickness on the post-sintering shrinkage. A number of samples with different lattice parameters were designed and printed with an LCD 3D resin printer using commercially available aluminosilicate resin. Later, the specimens were subjected to the same sintering process, and the dimensions of the green bodies and sintered parts were studied to measure volumetric and linear shrinkages. Full article

(This article belongs to the Proceedings of 1st International Conference on Industrial, Manufacturing, and Process Engineering (ICIMP-2024))

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9 pages, 2168 KiB

Open AccessProceeding Paper

Mechanical Characterization of Ultra-Violet-Curable Resin-Based Polymer Foams Containing Triply Periodic Minimal Surface Lattice Structures

by Mohammad Javad Hooshmand and Mohammad Abu Hasan Khondoker

Eng. Proc. 2024, 76(1), 55; https://doi.org/10.3390/engproc2024076055 - 30 Oct 2024

Viewed by 223

Abstract

Triply periodic minimal surface lattice structures are three-dimensional arrays of complex cells that can only be efficiently manufactured by 3D printing. The mechanical properties of these lattice structures depend on lattice parameters such as cell sizes along the X, Y, and Z axes, [...] Read more.

Triply periodic minimal surface lattice structures are three-dimensional arrays of complex cells that can only be efficiently manufactured by 3D printing. The mechanical properties of these lattice structures depend on lattice parameters such as cell sizes along the X, Y, and Z axes, and wall thickness. Designing such lattice structures for soft polymers permits the manufacturing of polymer foams with controllable mechanical stiffnesses. The objective of this work is to design and 3D print polymeric foams made of lattice structures and evaluate the effect of lattice parameters on the resulting stiffness. Lattice parameters define the lattice geometry and stiffness. Ten specimens with different lattice parameters were designed and 3D printed using a low-cost desktop liquid crystal display 3D printer using ultra-violet-curable resin. Then, following ASTM D3574-17, these samples were subjected to compression tests. An experimental analysis was conducted to examine the deformation characteristics of these structures, focusing on parameters such as yield strain, initial stiffness, and the maximum force at 50% compression. Full article

(This article belongs to the Proceedings of 1st International Conference on Industrial, Manufacturing, and Process Engineering (ICIMP-2024))

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9 pages, 653 KiB

Open AccessProceeding Paper

Prioritization of Mechanical Equipment Failure Modes Using Rough-TOPSIS Method

by Jude Akogwu and Golam Kabir

Eng. Proc. 2024, 76(1), 56; https://doi.org/10.3390/engproc2024076056 - 29 Oct 2024

Viewed by 245

Abstract

This study aims to enhance the effectiveness of the failure mode and effect analysis (FMEA) method. Traditional FMEA, relying solely on the risk priority number (RPN), neglects uncertainties and the ambiguity in decision-makers’ assessments. This oversight, coupled with the disregard for weighted risk [...] Read more.

This study aims to enhance the effectiveness of the failure mode and effect analysis (FMEA) method. Traditional FMEA, relying solely on the risk priority number (RPN), neglects uncertainties and the ambiguity in decision-makers’ assessments. This oversight, coupled with the disregard for weighted risk criteria (O, S, and D), diminishes FMEA’s precision. To address this, a novel FMEA approach introduces additional criteria (P, E, C, and T) and employs a three-phase methodology: traditional RPN determination, rough set model for rough weight calculation, and rough-TOPSIS for failure mode scoring. By combining the benefits of TOPSIS for decision-making with the power of rough set models for managing ambiguities, this innovative method demonstrates its potential in ambiguous and subjective environments. Application to a reciprocating pump and compressor reveals critical failure modes, with bearing failure and flange leakage being most and least critical for the pump, respectively, and the compressor operating outside the design envelop and coupling failure having the highest and lowest criticality, respectively, for the compressor in the rough-TOPSIS analysis. Full article

(This article belongs to the Proceedings of 1st International Conference on Industrial, Manufacturing, and Process Engineering (ICIMP-2024))

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8 pages, 6736 KiB

Open AccessProceeding Paper

Computational Analysis of Different Stiffener Designs for Power Transformer Tank Walls

by Md Milon Hasan, Asif Islam and Mohammad Abu Hasan Khondoker

Eng. Proc. 2024, 76(1), 57; https://doi.org/10.3390/engproc2024076057 - 29 Oct 2024

Viewed by 291

Abstract

While power transformer manufacturers are well versed in electrical aspects such as ampere-turns and amps per square inch, optimizing electrical efficiency, voltage regulation, and insulation, there is a potential oversight regarding the intricate mechanical challenges associated with electrical design. As transformers evolve in [...] Read more.

While power transformer manufacturers are well versed in electrical aspects such as ampere-turns and amps per square inch, optimizing electrical efficiency, voltage regulation, and insulation, there is a potential oversight regarding the intricate mechanical challenges associated with electrical design. As transformers evolve in size and capacity, mechanical forces become increasingly significant, necessitating a closer examination of the mechanical aspects of electrical design. This study focuses on the design of power transformer tank walls. To address the challenge associated with larger tank wall deflection (for both the high-voltage and low-voltage sides) during pressure tests, different stiffeners such as flat stiffeners, changed flat stiffener dimensions, flat bar supports for stiffeners, and H-beams were added to the tank wall and modeled for finite element analysis. The tank wall design was optimized for higher mechanical strength, lower deflection, and lower mass by assessing the von Mises stress and deformation of different stiffeners. The findings of this study will contribute to a better understanding of how design adjustments affects mechanical strength, stress distribution, and overall reliability, providing valuable insights for the industry. Full article

(This article belongs to the Proceedings of 1st International Conference on Industrial, Manufacturing, and Process Engineering (ICIMP-2024))

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10 pages, 1158 KiB

Open AccessProceeding Paper

Computation of Inverse Kinematics of Redundant Manipulator Using Particle Swarm Optimization Algorithm and Its Combination with Artificial Neural Networks

by Pedram Monfared, Xiaoning Fei and Wei Peng

Eng. Proc. 2024, 76(1), 58; https://doi.org/10.3390/engproc2024076058 - 29 Oct 2024

Viewed by 236

Abstract

The industry heavily relies on robotic manipulators at present. Despite their age, recent methodologies have significantly advanced their functionality, integrating them into daily life. Rescue robots are popular. However, their precision and reaction speed are the main issues for real-world rescuing. This research [...] Read more.

The industry heavily relies on robotic manipulators at present. Despite their age, recent methodologies have significantly advanced their functionality, integrating them into daily life. Rescue robots are popular. However, their precision and reaction speed are the main issues for real-world rescuing. This research aims to enhance the precision of rescue robotic manipulators’ end-effectors in real time. It achieves this by deriving and solving inverse kinematics formulations for 2-, 3-, and 4-link manipulators using Particle Swarm Optimization (PSO). The PSO method proves highly accurate, outperforming previous studies utilizing Artificial Neural Networks (ANNs). While PSO requires more time than ANNs, a hybrid approach, PSO-ANN, balances accuracy and speed, offering real-time solutions with minimal errors, and contributing to a precise methodology for real-time robotic manipulator operations. Full article

(This article belongs to the Proceedings of 1st International Conference on Industrial, Manufacturing, and Process Engineering (ICIMP-2024))

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7 pages, 658 KiB

Open AccessProceeding Paper

Additive Manufacturing of Inflatable Thermoplastic Extrudates Using a Pellet Extruder

by Md Ahsanul Habib and Mohammad Abu Hasan Khondoker

Eng. Proc. 2024, 76(1), 59; https://doi.org/10.3390/engproc2024076059 - 30 Oct 2024

Viewed by 318

Abstract

Additive manufacturing (AM) has emerged as one of the core components of the fourth industrial revolution, Industry 4.0. Among others, the extrusion AM (EAM) of thermoplastic materials has been named as the most widely adopted technology. Fused filament fabrication (FFF) relies on the [...] Read more.

Additive manufacturing (AM) has emerged as one of the core components of the fourth industrial revolution, Industry 4.0. Among others, the extrusion AM (EAM) of thermoplastic materials has been named as the most widely adopted technology. Fused filament fabrication (FFF) relies on the commercial availability of expensive filaments; hence, pellet extruder-based EAM techniques are desired. Large-format EAM systems would benefit from the ability to print lightweight objects with less materials and lower power consumption, which is possible with the use of hollow extrudates rather than solid extrudates to print objects. In this work, we designed a custom extruder head and developed an EAM system that allows the extrusion of inflatable hollow extrudates of a relatively wide material choice. By incorporating a co-axial nozzle–needle system, a thermoplastic shell was extruded while the hollow core was generated by using pressurized nitrogen gas. The ability to print using hollow extrudates with controllable inflation allows us to print objects with gradient part density with different degrees of mechanical properties. In this article, the effect of different process parameters, namely, extrusion temperature, extrusion speed, and gas pressure, were studied using poly-lactic acid (PLA) pellets. Initially, a set of preliminary tests was conducted to identify the maximum and minimum ranges of these parameters that result in consistent hollow extrudates. Finally, the parameters were varied to understand how they affect the core diameter and shell thickness of the hollow extrudates. These findings were supported by analyses of microscopic images taken under an optical microscope. Full article

(This article belongs to the Proceedings of 1st International Conference on Industrial, Manufacturing, and Process Engineering (ICIMP-2024))

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8 pages, 230 KiB

Open AccessProceeding Paper

Constraints to Clients’ Acceptance of Recycled Construction Materials in Developing Nations: Professionals’ Perspective

by Kenneth Otasowie, Clinton Aigbavboa, Ayodeji Oke, Peter Adekunle and Murendeni Liphadzi

Eng. Proc. 2024, 76(1), 60; https://doi.org/10.3390/engproc2024076060 - 30 Oct 2024

Viewed by 292

Abstract

Recycling construction materials minimises waste, but client preference for raw materials presents challenges. This study examines the constraints to client acceptance of recycled materials. Surveying 120 construction professionals, 110 responses were analysed using descriptive statistics. The results show that constraints including lack of [...] Read more.

Recycling construction materials minimises waste, but client preference for raw materials presents challenges. This study examines the constraints to client acceptance of recycled materials. Surveying 120 construction professionals, 110 responses were analysed using descriptive statistics. The results show that constraints including lack of recycling facilities, resistance to change, absence of appropriate technology, limited availability of materials, lack of information about recycled products, and lack of proper standards are significant obstacles to clients’ acceptance of recycled construction materials. Addressing logistical challenges, such as enhancing material availability and accessibility through improved recycling infrastructure and awareness campaigns, is crucial for overcoming these constraints. Full article

(This article belongs to the Proceedings of 1st International Conference on Industrial, Manufacturing, and Process Engineering (ICIMP-2024))

10 pages, 1205 KiB

Open AccessProceeding Paper

Sustainable Management of Spent Lithium-Ion Batteries: The Role of Reverse Logistics in the Automotive Sector

by Md Shahariar Ahmed, Md Ferdous Hasan, Sheikh Md Shahadat Kabir, Arafat Sultan Khan and Sharfuddin Ahmed Khan

Eng. Proc. 2024, 76(1), 61; https://doi.org/10.3390/engproc2024076061 - 29 Oct 2024

Viewed by 543

Abstract

In this age of global advancement in technology, environmental sustainability has become increasingly important. Electric vehicles (EVs) have gained popularity due to their lower carbon impact. One of the most important components of an electric vehicle (EV) is its lithium-ion battery. Increased use [...] Read more.

In this age of global advancement in technology, environmental sustainability has become increasingly important. Electric vehicles (EVs) have gained popularity due to their lower carbon impact. One of the most important components of an electric vehicle (EV) is its lithium-ion battery. Increased use of lithium-ion battery (LIB) packs has produced a possible concern in the form of excess LIBs unless adequate recycling or remanufacturing procedures are followed. To repurpose previously used LIBs in an eco-friendly and efficient way, it is essential to implement appropriate reverse logistics procedures. This field of research holds significant potential for the future of the automotive sector. In this study, we briefly reviewed spent LIB management, recycling procedures, demographic locations, remanufacturing concerns, transportation costs, deterioration, and regulations in North America. A brief review of the reverse logistics for lithium-ion batteries improves comprehension and paves the way for future research considerations in this evolving field. Full article

(This article belongs to the Proceedings of 1st International Conference on Industrial, Manufacturing, and Process Engineering (ICIMP-2024))

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8 pages, 2039 KiB

Open AccessProceeding Paper

The Clean Energy Transition and the Rare Earth Industry

by Al Thibeault

Eng. Proc. 2024, 76(1), 62; https://doi.org/10.3390/engproc2024076062 - 30 Oct 2024

Viewed by 336

Abstract

The clean energy transition is dependent on several of the critical minerals, including rare earths. The global rare earth industry (REI), which supplies these rare earths, is itself in a period of transition. A successful REI transition requires a secure and stable supply [...] Read more.

The clean energy transition is dependent on several of the critical minerals, including rare earths. The global rare earth industry (REI), which supplies these rare earths, is itself in a period of transition. A successful REI transition requires a secure and stable supply of rare earths to meet the demands of the global clean energy transition. Achieving these success criteria requires (1) re-establishing diversified rare earth production and (2) finding new sources of competitive advantage to create long-term stability for the diversified industry. Results from a simulation model testing various transition strategies based on an interdisciplinary transition approach are promising. Full article

(This article belongs to the Proceedings of 1st International Conference on Industrial, Manufacturing, and Process Engineering (ICIMP-2024))

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7 pages, 389 KiB

Open AccessProceeding Paper

Sustainability within Medium-Sized Businesses: A Study on Performance Impact in the Pakistani Context

by Sobia Jamil, Noor-Ul-Ain Hanif and Sharfuddin Ahmed Khan

Eng. Proc. 2024, 76(1), 63; https://doi.org/10.3390/engproc2024076063 - 31 Oct 2024

Viewed by 275

Abstract

The goal of this study is to find out how corporate social responsibility (CSR) affects managers’ commitment to sustainability and the long-term success of small and medium-sized businesses (SMEs) in Pakistan. In addition to that, this study aims to find out how a [...] Read more.

The goal of this study is to find out how corporate social responsibility (CSR) affects managers’ commitment to sustainability and the long-term success of small and medium-sized businesses (SMEs) in Pakistan. In addition to that, this study aims to find out how a manager’s focus on sustainability affects CSR activities and how these activities affect the economic, social, and environmental performance of a company in Pakistan. People who own or run small businesses in Pakistan’s manufacturing sector filled out survey questionnaires that were used to collect the data. Using the software SmartPLS 3.0, a statistical method called partial least square structural equation modeling was used to look at the research model. The findings show that CSR acts as a bridge between managers’ and owners’ sustainability goals and employees’ sustainability goals. Full article

(This article belongs to the Proceedings of 1st International Conference on Industrial, Manufacturing, and Process Engineering (ICIMP-2024))

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7 pages, 199 KiB

Open AccessProceeding Paper

Issues and Challenges Affecting Supply Chain in Project Delivery: Construction Professional Perspectives

by Kunle Elizah Ogundipe, Babatunde Fatai Ogunbayo and Clinton Ohis Aigbavboa

Eng. Proc. 2024, 76(1), 64; https://doi.org/10.3390/engproc2024076064 - 31 Oct 2024

Viewed by 362

Abstract

Supply chain management integration in construction project delivery emerged from strategies to improve competitiveness, increase profits, and gain control over the various factors influencing project delivery and performance. Hence, this study assesses the challenges of supply chain management in construction project delivery using [...] Read more.

Supply chain management integration in construction project delivery emerged from strategies to improve competitiveness, increase profits, and gain control over the various factors influencing project delivery and performance. Hence, this study assesses the challenges of supply chain management in construction project delivery using the perspective of construction professionals in South Africa. A structured questionnaire was developed to obtain data from construction professionals in Durban, South Africa. Descriptive statistics and the Kruskal–Wallis test were conducted to determine construction professionals’ perspectives towards challenges affecting supply chain management in construction project delivery. According to the study’s findings, the essential challenges affecting supply chain management in construction project delivery in South Africa include weak procurement strategies, difficulties with scheduling flexibility, poor construction design, poor budget management, non-integration of automation systems in the SCM process, insufficient planning of the project before starting, and sub-contractors’ lack of understanding of SCM concepts. The study recommends that construction project delivery be guided by effective procurement systems, effective budget management, integration of automation in the supply chain, and enabling government policies. Full article

(This article belongs to the Proceedings of 1st International Conference on Industrial, Manufacturing, and Process Engineering (ICIMP-2024))

8 pages, 2452 KiB

Open AccessProceeding Paper

Diffusion Analysis of Flue Gases Through Carbon Nanotube- and Graphene-Reinforced PEBAX Nanocomposite Membranes: A Molecular Dynamic Study

by Niaz Quader, S. D. Jacob Muthu and Golam Kabir

Eng. Proc. 2024, 76(1), 65; https://doi.org/10.3390/engproc2024076065 - 31 Oct 2024

Viewed by 271

Abstract

Dependency on fossil fuels for global energy demand has led to an increase in the concentration of CO₂ in the atmosphere, thereby contributing to environmental challenges such as climate change, rise in atmospheric temperature, etc. Since the major contributions of CO₂ [...] Read more.

Dependency on fossil fuels for global energy demand has led to an increase in the concentration of CO₂ in the atmosphere, thereby contributing to environmental challenges such as climate change, rise in atmospheric temperature, etc. Since the major contributions of CO₂ emissions are from industries, capturing CO₂ from post-combustion flue gas has become the focus of many research communities. As such, membrane-based carbon capture and storage (CCS) is an important pathway for controlling CO₂ emissions. However, performance validation for membrane separation is required to find the best composite material with a high diffusion rate. Hence, the objectives of this research included determining the performance of the nanocomposite membranes comprising polyether-block-amide (PEBAX) as a matrix and carbon nanotube (CNT) and armchair graphene as reinforcements as well as obtaining the flue gas diffusion rate using molecular dynamic (MD) analysis. Two different composition ratios of the flue gas with an equal ratio (1:1) and an actual post-combustion ratio were developed. The molecular dynamic simulation results obtained from LAMMPS and OVITO determined that graphene-based nanocomposites were better suited for the diffusion of the CO₂/N₂ and CO₂/N₂/O₂ flue gas compositions, and CNT-reinforced nanocomposite membranes performed better for the CO₂/O₂ flue gas blend. Full article

(This article belongs to the Proceedings of 1st International Conference on Industrial, Manufacturing, and Process Engineering (ICIMP-2024))

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8 pages, 3167 KiB

Open AccessProceeding Paper

Graphite-Doped Polyacrylonitrile Nanofiber Mats for Polymer Composite Pipeliners: Absorption Characterization

by Dirar Aletan, Nithish Balan and Jacob Muthu

Eng. Proc. 2024, 76(1), 66; https://doi.org/10.3390/engproc2024076066 - 31 Oct 2024

Viewed by 225

Abstract

Internal corrosion in pipelines is the most critical factor for pipeline failure. The growing trend of mitigating internal corrosion in pipelines by using nanofiber polymer composite liners was investigated in this study. The liners were fabricated using the electrospun Polyacrylonitrile (PAN) and graphite-doped [...] Read more.

Internal corrosion in pipelines is the most critical factor for pipeline failure. The growing trend of mitigating internal corrosion in pipelines by using nanofiber polymer composite liners was investigated in this study. The liners were fabricated using the electrospun Polyacrylonitrile (PAN) and graphite-doped PAN nanofibers. The liners were tested by immersing in water at 23 °C, 50 °C, and light oil to determine the diffusion characteristics. The absorption results combined with ATR-FTIR results confirmed that the addition of graphite-doped nanofibers has controlled the absorption significantly. Full article

(This article belongs to the Proceedings of 1st International Conference on Industrial, Manufacturing, and Process Engineering (ICIMP-2024))

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9 pages, 2701 KiB

Open AccessProceeding Paper

A Self-Organizing Map Artificial Neural Network to Improve the K-Means Algorithm on the Classification of Different Cancers

by Morteza Nakhaeepishkesh, Wei Peng and Huang Lin

Eng. Proc. 2024, 76(1), 67; https://doi.org/10.3390/engproc2024076067 - 1 Nov 2024

Viewed by 310

Abstract

In this paper, a method is presented in order to conduct data classification through the use of a Self-Organizing Map (SOM) Artificial Neural Network (ANN). At first, the performance of the K-means algorithm in relation to the classification of the data is analyzed [...] Read more.

In this paper, a method is presented in order to conduct data classification through the use of a Self-Organizing Map (SOM) Artificial Neural Network (ANN). At first, the performance of the K-means algorithm in relation to the classification of the data is analyzed completely. Then, the disadvantages and losses of this method are presented. By introducing the SOM ANN algorithm, the performance of the K-means algorithm with respect to data classification is modified. In fact, in this paper, the clustering performance of K-means is modified by the SOM ANN algorithm. For this aim, both algorithms are analyzed mathematically. Then, the problem results are compared in a simulation in MATLAB. The mentioned data are derived from 1000 patients with four different types of cancer. Each patient has two different symptoms. Four different cancers are shown as different clusters in here. The cancers are blood, intestine, salivary gland, and lung carcinoids. Symptoms are oxygen capacity of the lungs and red blood cell surface. The mentioned data were recorded by using a data acquisition system. The ANN network in this paper is based on the performance of an unsupervised learning problem. Full article

(This article belongs to the Proceedings of 1st International Conference on Industrial, Manufacturing, and Process Engineering (ICIMP-2024))

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7 pages, 418 KiB

Open AccessProceeding Paper

Optimizing Organizational Agility: The Symbiotic Impact of AI-Enhanced Supply Chain Collaboration and Risk Management on Performance and Flexibility

by Sherbaz Khan, Fatima tul Zehra and Sharfuddin Khan

Eng. Proc. 2024, 76(1), 68; https://doi.org/10.3390/engproc2024076068 - 1 Nov 2024

Viewed by 394

Abstract

The purpose of this study is to examine whether there are complex interrelationships between supply chain collaboration, adoption of artificial intelligence, and the resulting risk management performance, with potential effects on organizational performance, supply chain performance, and supply chain flexibility. The data for [...] Read more.

The purpose of this study is to examine whether there are complex interrelationships between supply chain collaboration, adoption of artificial intelligence, and the resulting risk management performance, with potential effects on organizational performance, supply chain performance, and supply chain flexibility. The data for this study were obtained from the answer questionnaires distributed in leading business and management universities in Karachi; out of 400 questionnaires disseminated, 384 were returned and filled with the responses. The data were analyzed using the Partial Least Squares–Structure Equation Modeling (PLS-SEM) approach. Among the six hypotheses tested in this particular study, it was revealed that none of the tested hypotheses were rejected at its level. These findings and recommendations gain more importance with the changing nature of the supply chain network and outlook toward sustainable practice. Full article

(This article belongs to the Proceedings of 1st International Conference on Industrial, Manufacturing, and Process Engineering (ICIMP-2024))

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10 pages, 4706 KiB

Open AccessProceeding Paper

Design and Characterization of Additively Manufactured Patient-Specific Wrist Hand Orthosis

by Mohammad Ruhul Amin and Mohammad Abu Hasan Khondoker

Eng. Proc. 2024, 76(1), 69; https://doi.org/10.3390/engproc2024076069 - 29 Oct 2024

Viewed by 185

Abstract

Additive manufacturing (AM) has emerged as one of the core components of Industry 4.0, which allows extreme customization of products and offers the full potential of design freedom. Recently, AM has been utilized to manufacture patient-specific, customized assistive devices in the field of [...] Read more.

Additive manufacturing (AM) has emerged as one of the core components of Industry 4.0, which allows extreme customization of products and offers the full potential of design freedom. Recently, AM has been utilized to manufacture patient-specific, customized assistive devices in the field of rehabilitation. This work presents the design and development process of customized wrist-hand orthosis (WHO) elaborately using AM technology. The main focus of this research was to perform an experimental evaluation of the WHO devices for fitting and customer satisfaction. In this case, the primary anatomic measurement of the wrist was obtained using an infrared-based 3D scanner. Then a 3D model of the orthotic device was prepared in nTop using different lattice parameters. Finally, these devices were additively manufactured in liquid crystal display (LCD) 3D resin printers for superior surface quality. To maximize user comfort and mechanical robustness at the same time, mechanical tests were simulated to assess the WHO’s mechanical characteristics and confirm its operation during typical hand activities. Full article

(This article belongs to the Proceedings of 1st International Conference on Industrial, Manufacturing, and Process Engineering (ICIMP-2024))

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9 pages, 2411 KiB

Open AccessProceeding Paper

Leveraging Lean Six Sigma to Optimize the U.S. Air Force Safety Reporting Process

by Daniel L. Arango, Alexandr Sokolov, Saroj Raut and Niamat Ullah Ibne Hossain

Eng. Proc. 2024, 76(1), 70; https://doi.org/10.3390/engproc2024076070 - 4 Nov 2024

Viewed by 228

Abstract

This report applies Lean Six Sigma methodologies to dissect, document, assess, and improve the process for reporting safety incidents and mishaps in the United States Air Force (USAF). The current USAF policy requires supervisors to report all incidents through an unobstructed reporting channel [...] Read more.

This report applies Lean Six Sigma methodologies to dissect, document, assess, and improve the process for reporting safety incidents and mishaps in the United States Air Force (USAF). The current USAF policy requires supervisors to report all incidents through an unobstructed reporting channel without delay to ensure prompt investigation of hazardous practices, equipment, or situations. However, factors such as overwork, an overabundance of report forms, a dearth of education, and the normalization of complacency have stymied its effectiveness. This project employs the SIPOC diagram and DMAIC phase approach to analyze the USAF safety reporting process and recommends the steps supervisors need to take to maximize safety reporting. Some of the recommendations are establishing a primary avenue for making safety reports, implementing non-onerous feedback methods, and integrating modern technology to improve safety reporting efficiency and accuracy. Full article

(This article belongs to the Proceedings of 1st International Conference on Industrial, Manufacturing, and Process Engineering (ICIMP-2024))

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8 pages, 5237 KiB

Open AccessProceeding Paper

Infrastructure Resilience: Bibliometric and Network Analysis

by Saroj Raut and Niamat Ullah Ibne Hossain

Eng. Proc. 2024, 76(1), 71; https://doi.org/10.3390/engproc2024076071 - 4 Nov 2024

Viewed by 304

Abstract

Infrastructures enable economic growth and job creation and improve quality of life. Therefore, infrastructure should be resilient to natural hazards and other challenges. This paper presents a bibliometric and network analysis of 6596 articles, published between 1977 and 2024, extracted from the Scopus [...] Read more.

Infrastructures enable economic growth and job creation and improve quality of life. Therefore, infrastructure should be resilient to natural hazards and other challenges. This paper presents a bibliometric and network analysis of 6596 articles, published between 1977 and 2024, extracted from the Scopus database by using “Infrastructure AND Resilience” as the keyword. VOSviewer and Biblioshiny are used to generate analyses such as the co-authorship, co-occurrences, bibliographic coupling, co-citation, and Sankey diagram. This paper also emphasizes principles of infrastructure resilience such as flexibility, adaptability, agility, robustness, survivability, redundancy, and so on. The outcomes of this research can be utilized by future researchers, policymakers, governments, and industrialists for resilient infrastructure. Full article

(This article belongs to the Proceedings of 1st International Conference on Industrial, Manufacturing, and Process Engineering (ICIMP-2024))

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8 pages, 934 KiB

Open AccessProceeding Paper

Product Portfolio Optimization Using Multi-Criteria Decision Analysis

by Md Masudur Rahman, Ghazi Abu Taher and Golam Kabir

Eng. Proc. 2024, 76(1), 72; https://doi.org/10.3390/engproc2024076072 - 5 Nov 2024

Viewed by 345

Abstract

Globalization increases the potential for business expansion, which creates more opportunities in the market. The competition and expansion in the market create varieties of products to satisfy human needs and make it more difficult for the product planner to maintain huge piles of [...] Read more.

Globalization increases the potential for business expansion, which creates more opportunities in the market. The competition and expansion in the market create varieties of products to satisfy human needs and make it more difficult for the product planner to maintain huge piles of stock, resulting in high inventory costs to meet customer demands on time. Product portfolio optimization, as a tool of strategic management for companies in the competitive market, plays a vital role, helping businesses to constantly strive to maximize their returns while minimizing risks. This study explores Multi-Criteria Decision Analysis (MCDA) by using real-world applications of the fuzzy Analytical Hierarchy Process (AHP) and fuzzy TOPSIS, which offer a comprehensive approach by integrating quantitative and qualitative factors, to evaluate and prioritize products within a company’s portfolio, specifically focusing on the product of lead–acid storage batteries from a renowned organization in Bangladesh, aiming to provide valuable insights for businesses seeking to enhance their decision-making processes and achieve sustainable growth. Full article

(This article belongs to the Proceedings of 1st International Conference on Industrial, Manufacturing, and Process Engineering (ICIMP-2024))

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8 pages, 2669 KiB

Open AccessProceeding Paper

by Mehrnoush Bahramimehr and Golam Kabir

Eng. Proc. 2024, 76(1), 73; https://doi.org/10.3390/engproc2024076073 - 7 Nov 2024

Viewed by 250

Abstract

Railway transport is the backbone of Canada’s supply chain, valued for its reliability and safety despite its inherent complexity, which brings a variety of associated risks. Considering Canada’s climate, analyzing weather-related risks in the railway network is valuable for decision-makers in transportation, especially [...] Read more.

Railway transport is the backbone of Canada’s supply chain, valued for its reliability and safety despite its inherent complexity, which brings a variety of associated risks. Considering Canada’s climate, analyzing weather-related risks in the railway network is valuable for decision-makers in transportation, especially in preparation for cold seasons and railway network development. In this study, a comprehensive spatial analysis using ArcMap was applied to identifying Saskatchewan’s hotspots and vulnerable geographical areas for the railway network in terms of minimum temperature, rain, and snow, which are the major weather-related risk factors in this province. Risk maps were generated for each factor mentioned, which demonstrate hotspots and hazardous areas that require more attention and planning to maintain the continuity of the supply chain. These results can be used to enhance safety, reduce service disruptions, and ensure the smooth operation of the railway network. Full article

(This article belongs to the Proceedings of 1st International Conference on Industrial, Manufacturing, and Process Engineering (ICIMP-2024))

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8 pages, 1116 KiB

Open AccessProceeding Paper

A Decision-Making System for Medical Transportation Mode Using Machine Learning Methods

by Sahar Khodabakhshi, Md Ali Ahosan Habib and Wei Peng

Eng. Proc. 2024, 76(1), 74; https://doi.org/10.3390/engproc2024076074 - 8 Nov 2024

Viewed by 455

Abstract

The freight transportation system faces complex operations globally to meet customer demands. Intense competition prompts companies to enhance performance. Transportation modes (road, sea, air) impact service levels, each with distinct features, benefits, costs, environmental effects, and societal risks. Shippers confront challenges in mode [...] Read more.

The freight transportation system faces complex operations globally to meet customer demands. Intense competition prompts companies to enhance performance. Transportation modes (road, sea, air) impact service levels, each with distinct features, benefits, costs, environmental effects, and societal risks. Shippers confront challenges in mode selection due to numerous factors, compounded by an increase in low-volume, high-frequency shipments. Rising logistics costs for a few products of exporters affect the socio-economic situation of a country. This research introduces a hybrid approach for a shipment selection model, focusing on pharmaceutical drugs. Utilizing ma- chine learning algorithms (decision tree, Random Forest, logistic regression, XGboost, SVM) and multi-criteria decision-making methods (SAW, MARCOS, TOPSIS, MULTIMOORA, VIKOR), this study predicts the optimal shipping method (land, air, sea) based on dataset features (shipping cost, origin-destination, cargo weight, dimensions). Evaluation metrics include F1 score, Recall, Precision, and Accuracy score. XGboost stands out as the optimal algorithm, demonstrating an accuracy of eighty-four percent, with random forest, decision tree, SVM, and logistic regression following in descending order. This comprehensive approach addresses the complexities of pharmaceutical shipment selection, considering various influential factors. Full article

(This article belongs to the Proceedings of 1st International Conference on Industrial, Manufacturing, and Process Engineering (ICIMP-2024))

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9 pages, 3676 KiB

Open AccessProceeding Paper

Numerical Approach to Fatigue Life Prediction of Harrow Tines Considering Geometrical Variations

by Arafater Rahman and Mohammad Abu Hasan Khondoker

Eng. Proc. 2024, 76(1), 75; https://doi.org/10.3390/engproc2024076075 - 8 Nov 2024

Viewed by 266

Abstract

Harrow tine is a widely used tool for mechanical weeding. However, the effect of its geometry on its fatigue life is something that has not been studied well yet. In this work, two different harrow tines (0.5260” HT and 0.6253” HT) were analyzed [...] Read more.

Harrow tine is a widely used tool for mechanical weeding. However, the effect of its geometry on its fatigue life is something that has not been studied well yet. In this work, two different harrow tines (0.5260” HT and 0.6253” HT) were analyzed to understand how their geometry affects their fatigue life under different field conditions and material properties. Finite element analyses were performed on these harrow tines by applying different degrees of leg deflections (3, 6, 8, 10, and 12 inches) for von Mises stress distributions and failure life cycles. The results suggested that 0.526” HT has a longer cycle life than 0.6253” HT. With the largest leg deflection and controlled conditions, 0.5260” HT exhibits a harrowing capability of 133.62 hectares, which is larger than 0.6253” HT’s 117.66 hectares. Apart from the numerical analyses, prototypes (1:0.35 scaled-down model) of these harrow tines were additively manufactured using a rigid ultraviolet curable resin. Finally, a custom test setup was used to perform simple load-bearing tests of these harrow tines. Full article

(This article belongs to the Proceedings of 1st International Conference on Industrial, Manufacturing, and Process Engineering (ICIMP-2024))

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7 pages, 8821 KiB

Open AccessProceeding Paper

Design and Numerical Investigation of High-Performance Heat Exchangers Containing Triply Periodic Minimal Surface Lattice Structures

by Sanjoy Dam and Mohammad Abu Hasan Khondoker

Eng. Proc. 2024, 76(1), 76; https://doi.org/10.3390/engproc2024076076 - 8 Nov 2024

Viewed by 327

Abstract

This research explores the transformative realm of heat exchanger design, focusing on three different lattice types—gyroid, diamond, and SplitP. This study systematically investigates the impact of different cell sizes and wall thicknesses of the lattice structure on the performance of these innovative heat [...] Read more.

This research explores the transformative realm of heat exchanger design, focusing on three different lattice types—gyroid, diamond, and SplitP. This study systematically investigates the impact of different cell sizes and wall thicknesses of the lattice structure on the performance of these innovative heat exchangers. The goal is to identify the design parameters of a high-performance heat exchanger with minimal fluid pressure loss but maximum heat transfer. Utilizing advanced computational simulations and modeling techniques, we delve into the intricate details of fluid dynamics within heat exchangers featuring distinct lattice geometries. By systematically adjusting lattice cell size and wall thickness, the research aims to identify the optimal configurations that maximize heat transfer efficiency while ensuring structural integrity. The analysis encompasses detailed examinations of fluid flow patterns, temperature changes, and pressure drops across the different lattice types. These complex heat exchangers were designed for additive manufacturing. The findings promise to guide the development of more efficient and customized heat exchangers, with implications for a wide range of applications where precise thermal management is paramount. Full article

(This article belongs to the Proceedings of 1st International Conference on Industrial, Manufacturing, and Process Engineering (ICIMP-2024))

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11 pages, 508 KiB

Open AccessProceeding Paper

Industry 5.0 and Overall Supply Chain Performance: A Proposed Conceptual Framework

by Hamideh Nazarian and Sharfuddin Ahmed Khan

Eng. Proc. 2024, 76(1), 77; https://doi.org/10.3390/engproc2024076077 - 12 Nov 2024

Viewed by 289

Abstract

This study investigates the impact of Industry 5.0 (I5.0) on the overall supply chain performance (SCP). Three dimensions of SCP, including efficiency, responsiveness, and visibility, have been defined based on the existing literature to evaluate the overall SCP. Moreover, seven enabling technologies of [...] Read more.

This study investigates the impact of Industry 5.0 (I5.0) on the overall supply chain performance (SCP). Three dimensions of SCP, including efficiency, responsiveness, and visibility, have been defined based on the existing literature to evaluate the overall SCP. Moreover, seven enabling technologies of I5.0, which have the greatest impact on supply chain management (SCM), have been extracted from the existing literature. This study also demonstrates how I5.0 affects SCP dimensions and how each dimension contributes to overall SCP. The present work can provide managers and practitioners with a comprehensive perspective on the importance of I5.0 in improving their SCP by enhancing the efficiency and effectiveness of supply chain (SC) actions. Full article

(This article belongs to the Proceedings of 1st International Conference on Industrial, Manufacturing, and Process Engineering (ICIMP-2024))

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7 pages, 1587 KiB

Open AccessProceeding Paper

Enhancing Construction Project Performance Through Integrated and Optimized Supply Chain Management

by Muhammad Atiq Ur Rehman, Sharfuddin Ahmed Khan and Amin Chaabane

Eng. Proc. 2024, 76(1), 78; https://doi.org/10.3390/engproc2024076078 - 12 Nov 2024

Viewed by 246

Abstract

The construction industry is shifting towards integration, digitization, and automation, necessitating an adaptive logistics system for enhanced performance. Despite this shift, poor supplier performance and lack of collaboration among stakeholders often cause delays and cost overruns. This research addresses these issues by proposing [...] Read more.

The construction industry is shifting towards integration, digitization, and automation, necessitating an adaptive logistics system for enhanced performance. Despite this shift, poor supplier performance and lack of collaboration among stakeholders often cause delays and cost overruns. This research addresses these issues by proposing an optimization model for the planning phase of construction projects. The generalized mixed-integer linear programming (MILP) model is developed that optimizes supplier and process selection of construction projects, demonstrated through a numerical study. Results indicate that optimizing these decisions in the planning phase can significantly improve supply chain performance, enabling better cost and time management for construction projects traditional or modular. Full article

(This article belongs to the Proceedings of 1st International Conference on Industrial, Manufacturing, and Process Engineering (ICIMP-2024))

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8 pages, 210 KiB

Open AccessProceeding Paper

An Exhaustive Comparative Study of Machine Learning Algorithms for Natural Language Processing Applications

by Kanwar Mansoor Ali, Talha Ahmed Khan, Syed Mubashir Ali, Asif Aziz, Sharfuddin Ahmed Khan and Sadique Ahmad

Eng. Proc. 2024, 76(1), 79; https://doi.org/10.3390/engproc2024076079 - 13 Nov 2024

Viewed by 306

Abstract

The past few decades have witnessed an enormous research growth in the field of natural language processing. In this regard, numerous machine learning (ML) algorithms have been applied in different sub-domains of NLP such as speech recognition, text classification, sentiment analysis, etc. Furthermore, [...] Read more.

The past few decades have witnessed an enormous research growth in the field of natural language processing. In this regard, numerous machine learning (ML) algorithms have been applied in different sub-domains of NLP such as speech recognition, text classification, sentiment analysis, etc. Furthermore, their performances have been evaluated using diverse performance metrics. However, a comparative analysis of various ML algorithms in the aforementioned field is a feasible research area to explore. This may efficiently guide future research to precisely focus on the improvement of those particular algorithms that have been found to be more effective based on previous research. Thus, this article provides a comparative analysis regarding the application and effectiveness of different ML algorithms in the field of NLP. Additionally, it highlights the future research direction to be adopted for enhancing the ability of the natural language processing domain. Full article

(This article belongs to the Proceedings of 1st International Conference on Industrial, Manufacturing, and Process Engineering (ICIMP-2024))

8 pages, 10338 KiB

Open AccessProceeding Paper

Innovations in Clean Energy Technologies: A Comprehensive Exploration of Research at the Clean Energy Technologies Research Institute, University of Regina

by Feysal M. Ali and Hussameldin Ibrahim

Eng. Proc. 2024, 76(1), 80; https://doi.org/10.3390/engproc2024076080 - 14 Nov 2024

Viewed by 244

Abstract

The Clean Energy Technology Research Institute (CETRI) at the University of Regina, Canada, serves as a collaborative hub where a dynamic team of researchers, industry leaders, innovators, and educators come together to tackle the urgent challenges of climate change and the advancement of [...] Read more.

The Clean Energy Technology Research Institute (CETRI) at the University of Regina, Canada, serves as a collaborative hub where a dynamic team of researchers, industry leaders, innovators, and educators come together to tackle the urgent challenges of climate change and the advancement of clean energy technologies. Specializing in low-carbon and carbon-free clean energy research, CETRI adopts a unique approach that encompasses feasibility studies, bench-scale and pilot-plant testing, and pre-commercial demonstrations, all consolidated under one roof. This holistic model distinguishes CETRI, fostering a diverse and inclusive environment for technical, scientific, and hands-on learning experiences. With a CAD 3.3 million pre-commercial carbon capture demonstration plant capable of capturing 1 tonne of CO₂ per day, and a feed-flexible hydrogen demonstration pilot plant producing 6 kg of hydrogen daily, CETRI emerges as a pivotal force in advancing innovative, reliable, and cost-competitive clean energy solutions, essential for a safe, prolific, and sustainable world. This paper provides a comprehensive overview of the diverse and impactful research carried out in the center, spanning various areas including decarbonization, zero-emission hydrogen technologies, carbon (CO₂) capture utilization and storage, the conversion of waste into renewable fuels and chemicals, and emerging technologies such as small modular nuclear reactors and microgrids. Full article

(This article belongs to the Proceedings of 1st International Conference on Industrial, Manufacturing, and Process Engineering (ICIMP-2024))

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8 pages, 6735 KiB

Open AccessProceeding Paper

Silicon Nanowire-Supported Catalysts for the Photocatalytic Reduction of Carbon Dioxide

by Feysal M. Ali, Doug Perovic, Geoffrey A. Ozin and Hussameldin Ibrahim

Eng. Proc. 2024, 76(1), 81; https://doi.org/10.3390/engproc2024076081 - 15 Nov 2024

Viewed by 169

Abstract

The conversion of carbon dioxide, a greenhouse gas, into valuable chemicals using sunlight is highly significant technologically and holds the promise of providing a more sustainable alternative to fossil fuels. To effectively utilize the abundant solar irradiation, it is essential to develop catalysts [...] Read more.

The conversion of carbon dioxide, a greenhouse gas, into valuable chemicals using sunlight is highly significant technologically and holds the promise of providing a more sustainable alternative to fossil fuels. To effectively utilize the abundant solar irradiation, it is essential to develop catalysts that can absorb a significant portion of the solar spectrum, particularly in the UV, visible, and infrared regions. Silicon nanowire arrays grown on silicon substrates meet this criterion, as they can absorb over 85% of solar irradiation and show minimal reflective losses across the UV, visible, and infrared portions of the solar spectrum. Herein, we report the deposition of various catalysts, including iron oxyhydroxides, copper, nickel, and ruthenium, on silicon nanowires using different catalyst deposition techniques. The photocatalytic reduction of carbon dioxide was evaluated using these catalysts. The results show that silicon nanowires coated with nickel and ruthenium oxide had the highest activity towards the photocatalytic reduction of carbon dioxide, with photomethanation rates reaching 546 μmolg_cat⁻¹h⁻¹ for RuO₂@SiNWs and 278 μmolg_cat⁻¹h⁻¹ for Ni/NiO@SiNWs. Continued improvement of photocatalysts using nanostructured silicon supports could enable the development of solar refineries for converting gas-phase CO₂ into value-added chemicals and fuels. Full article

(This article belongs to the Proceedings of 1st International Conference on Industrial, Manufacturing, and Process Engineering (ICIMP-2024))

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7 pages, 1428 KiB

Open AccessProceeding Paper

Capacity Shortages for Grid Disconnected Irrigation in Saskatchewan Using HOMER

by David Ross-Hopley, Lord Ugwu and Hussameldin Ibrahim

Eng. Proc. 2024, 76(1), 82; https://doi.org/10.3390/engproc2024076082 - 15 Nov 2024

Viewed by 173

Abstract

Irrigation agriculture can contribute to international food security by improving agricultural yields. For irrigation projects with large pumping requirements, considerable energy input is required. With cost decreases, renewable energy is increasingly techno-economically viable but remains problematic due to intermittency. Using HOMER Pro Version [...] Read more.

Irrigation agriculture can contribute to international food security by improving agricultural yields. For irrigation projects with large pumping requirements, considerable energy input is required. With cost decreases, renewable energy is increasingly techno-economically viable but remains problematic due to intermittency. Using HOMER Pro Version 3.16.0 software, this study aims to quantify the viability of 100% renewable energy (RE) to support irrigation projects that permit capacity shortages. Evaluation includes the modelling of a hypothetical irrigation project, analysis of the efficacy of wind and solar, and the effect of capacity shortages. The study finds 100% RE systems with capacity shortages are more costly (CA$ 0.33/kWh) than current utility rates (CA$ 0.08–0.12/kWh). Full article

(This article belongs to the Proceedings of 1st International Conference on Industrial, Manufacturing, and Process Engineering (ICIMP-2024))

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8 pages, 2153 KiB

Open AccessProceeding Paper

Valorization of Methane for Ethylene Production Through Oxidative Coupling: An Application of Density Functional Theory and Data Analytics in Catalyst Design for Improved Methane Conversion

by Lord Ugwu, Yasser Morgan and Hussameldin Ibrahim

Eng. Proc. 2024, 76(1), 83; https://doi.org/10.3390/engproc2024076083 - 15 Nov 2024

Viewed by 61

Abstract

The combination of electronic and catalytic features, in conjunction with empirical investigation, provides enriched perspectives on the analysis of catalysts, thus propelling progress and design. This study employs computational methods to deduce electronic characteristics, including properties such as bandgap, Fermi energy, and magnetic [...] Read more.

The combination of electronic and catalytic features, in conjunction with empirical investigation, provides enriched perspectives on the analysis of catalysts, thus propelling progress and design. This study employs computational methods to deduce electronic characteristics, including properties such as bandgap, Fermi energy, and magnetic moment, for known catalysts involved in the oxidative coupling of methane (OCM) reaction. Through the comparison of these attributes with existing experimental OCM data, the ability to forecast the effectiveness of catalysis and subsequent reaction results is achieved, spanning CH₄, C₂H₄, C₂H₆, and CO₂ production. Transition metals, including Pt, Rh, Ru, and Ir, turn out to be promising catalyst promoters of OCM reactions. This study identified 58 innovative blends of metallic oxides and 3480 new catalytic configurations specifically designed for methane conversion at a moderately low temperature of 700 °C, placing them as effective catalysts for the OCM reaction. These emerging catalysts are projected to result in a rise in methane conversion extending from ±38.5% to ±95%, presenting a significant increase from the upper limit methane conversion of 36% reported in previous investigations. Full article

(This article belongs to the Proceedings of 1st International Conference on Industrial, Manufacturing, and Process Engineering (ICIMP-2024))

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8 pages, 1239 KiB

Open AccessProceeding Paper

Sustainable Supply Chain Management for Plastic Manufacturing in Small- and Medium-Sized Enterprises Using MCDA Method

by Hansraj Tundiya, Mohammad Ali Palsaniya, Nishi Panchal, Pranav Topre, Yash Bhavsar and Sharfuddin Ahmed Khan

Eng. Proc. 2024, 76(1), 84; https://doi.org/10.3390/engproc2024076084 - 19 Nov 2024

Viewed by 121

Abstract

This study analyzed the operational environment of supply chains involved in the production of eco-friendly plastics, with a particular emphasis on small- and medium-sized businesses worldwide. Qualitative research methods were used to highlight the significance of extended producer responsibility (EPR) regulations and strong [...] Read more.

This study analyzed the operational environment of supply chains involved in the production of eco-friendly plastics, with a particular emphasis on small- and medium-sized businesses worldwide. Qualitative research methods were used to highlight the significance of extended producer responsibility (EPR) regulations and strong recycling programs for the sustainability of small- and medium-sized enterprises (SMEs). Also, this study looked at international regulations affecting the implementation of circular economy strategies and the difficulties in creating sustainable supply chains. It concluded that waste reduction, effective supply chain management, and sustainable practices are crucial aspects of a more effective and sustainable global plastic-manufacturing sector. This research highlighted the significance of government policies in SME revival and used Multiple-Criteria Decision Analysis (MCDA) to help SMEs adopt sustainable supply chain practices that act as a catalyst for industry reform. Full article

(This article belongs to the Proceedings of 1st International Conference on Industrial, Manufacturing, and Process Engineering (ICIMP-2024))

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8 pages, 2018 KiB

Open AccessProceeding Paper

IoT-Based Smart Remote Door Lock and Monitoring System Using an Android Application

by Jakia Sultana Sonamoni, Raihan Sikdar, A. S. M. Ahsanul Sarkar Akib, Md Shamiul Islam, Salahin Sourov, Md Abdullah Al Ahasan, Mahadir Islam, Md Ahsan Habib and M. F. Mridha

Eng. Proc. 2024, 76(1), 85; https://doi.org/10.3390/engproc2024076085 - 19 Nov 2024

Viewed by 63

Abstract

Nowadays, it is very important to secure our home perfectly. To make our life easier and more secure, we are presenting our smart door lock system project. We implement an IoT-based smart door lock system using an ESP32-CAM and an Android application in [...] Read more.

Nowadays, it is very important to secure our home perfectly. To make our life easier and more secure, we are presenting our smart door lock system project. We implement an IoT-based smart door lock system using an ESP32-CAM and an Android application in this project. Most of the time in our daily life, we forget to lock our doors and later we suffer from confusion about whether we locked all doors perfectly or not. In this project, we implement a smart door lock system, by which the owner can see the visitor’s picture and then lock or unlock their doors from anywhere and at any time using the Android application. Whenever visitors come to visit the home and press the doorbell, the owner will receive a notification on his/her smartphone and then the owner can see the visitor’s picture by using the Android app. After checking the visitor, the owner can let them enter the house by unlocking the door remotely. If the door is locked perfectly, then the door lock signal in the application will show a green signal. If the door is not locked perfectly, the signal will show red and then the owner can remotely lock their door easily from anywhere. In this project, we have also utilized a theft alert. If anyone comes in front of the door and tries to enter the house forcefully then a theft alert notification will be sent to the owner’s smartphone and a Buzzer Alert will ring in the house loudly so that the neighbors can be aware of the theft and can take action. The automatic door lock feature is also available in this system. Full article

(This article belongs to the Proceedings of 1st International Conference on Industrial, Manufacturing, and Process Engineering (ICIMP-2024))

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6 pages, 14193 KiB

Open AccessProceeding Paper

Multi-Material Axial-Flow Impeller with Inconel 718 Laminated on SST 304 by Wire Arc Additive Manufacturing

by Shinichiro Ejiri

Eng. Proc. 2024, 76(1), 86; https://doi.org/10.3390/engproc2024076086 - 19 Nov 2024

Viewed by 121

Abstract

This focused on the fabrication process for difficult-to-machine materials with the aim of advancing manufacturing technology using wire arc additive manufacturing (WAAM). A multi-material axial-flow impeller with blades made of Inconel 718, a nickel-based alloy, and a hub made of SST 304, a [...] Read more.

This focused on the fabrication process for difficult-to-machine materials with the aim of advancing manufacturing technology using wire arc additive manufacturing (WAAM). A multi-material axial-flow impeller with blades made of Inconel 718, a nickel-based alloy, and a hub made of SST 304, a general-purpose stainless steel, was developed using WAAM. Then, its industrial advantage was analyzed in terms of the machining time and tool usage required for fabrication. As a result of this study, it was found that for the axial-flow impeller with a tip diameter of 125.3 mm used in the study, a reduction in machining time of about 110 h and a reduction in tool usage of about 110 times could be expected. Full article

(This article belongs to the Proceedings of 1st International Conference on Industrial, Manufacturing, and Process Engineering (ICIMP-2024))

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8 pages, 1566 KiB

Open AccessProceeding Paper

An Innovative Winding Number Method for Nonlinear Dynamical System Characterization

by Zhengyuan Zhang, Shixuan Lu, Liming Dai and Na Jia

Eng. Proc. 2024, 76(1), 87; https://doi.org/10.3390/engproc2024076087 - 20 Nov 2024

Viewed by 23

Abstract

The conventional winding number method is extended in this research to characterize the nonlinear dynamical systems, especially in differentiating partially predictable chaos from strong chaos. On modern robotics’ challenges with increased degrees of freedom, traditional methods like the Lyapunov exponent are insufficient for [...] Read more.

The conventional winding number method is extended in this research to characterize the nonlinear dynamical systems, especially in differentiating partially predictable chaos from strong chaos. On modern robotics’ challenges with increased degrees of freedom, traditional methods like the Lyapunov exponent are insufficient for distinguishing between strong and partially predictable chaos. The proposed methods examine the winding number’s sensitivity with respect to the center and its standard deviations across time sequences to assess predictability and differentiate between different motion types. The Duffing–Van der Pol system is used to show the effectiveness in identifying different chaotic behaviours, offering significant implications for the control of complex robotic systems. Full article

(This article belongs to the Proceedings of 1st International Conference on Industrial, Manufacturing, and Process Engineering (ICIMP-2024))

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8 pages, 2815 KiB

Open AccessProceeding Paper

Sustainable Bicycle Crank Arm Selection Using Life Cycle Analysis Under Typical Cycling Pedal Forces

by Arafater Rahman, Mohammad Abdul Wadud, Mohammad Abdul Hasib and Mohammad Ashraful Islam

Eng. Proc. 2024, 76(1), 6043; https://doi.org/10.3390/engproc2024076043 - 28 Oct 2024

Viewed by 347

Abstract

This research compares the performance of structural steel and general aluminum alloys in identical crank arm designs when bearing loads are applied at different stages of paddling, such as starting, climbing, and racing. Finite element analysis (FEA) was utilized to evaluate fatigue life [...] Read more.

This research compares the performance of structural steel and general aluminum alloys in identical crank arm designs when bearing loads are applied at different stages of paddling, such as starting, climbing, and racing. Finite element analysis (FEA) was utilized to evaluate fatigue life and safety factors. A design modification strategy was proposed to reduce critical stress in failure zones, resulting in an increased fatigue life. Although steel and aluminum alloys both have significant life and nominal high fatigue life during racing and climbing, respectively, aluminum alloys are unable to withstand a 1815 N starting load, even after modification. Full article

(This article belongs to the Proceedings of 1st International Conference on Industrial, Manufacturing, and Process Engineering (ICIMP-2024))

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