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Selected Papers from the 29th International Joint Conference on Industrial Engineering and Operations Management (IJCIEOM)

A special issue of Applied Sciences (ISSN 2076-3417).

Deadline for manuscript submissions: closed (20 December 2023) | Viewed by 3114

Special Issue Editors


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Guest Editor
Department of Mechanical Engineering, Polytechnic School of Engineering, Universidade Federal da Bahia, Salvador 40210-630, Brazil
Interests: circular supply chain management; renewable energy supply chains; reverse logistics systems; supply chain risk management
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Guest Editor
Engineering School, Universidade Presbiteriana Mackenzie, Rua da Consolação, 930, São Paulo, Brazil
Interests: production management (manufacturing systems and manufacturing processes); competitiveness; industrial engineering education

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Guest Editor
Industrial Engineering and Management, Faculty of Engineering, Lusófona University and EIGeS, Campo Grande, 1749-024 Lisbon, Portugal
Interests: operations management; utilities governance; tariff structures; climate and social changes; decision analysis and optimization
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Industrial Engineering and Management, Faculty of Engineering, Lusófona University and EIGeS, Campo Grande, 1749-024 Lisbon, Portugal
Interests: operations management; decision support; optimization; production planning and scheduling
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The 29th International Joint Conference on Industrial Engineering and Operations Management (IJCIEOM) (https://ijcieom.org/2023/) organized by Lusófona University, Portugal, is an excellent opportunity to promote researchers networking as a way to exchange ideas and approaches that contribute to the development of Industrial Engineering and Management from a scientific and industrial perspective. Moreover, IJCIEOM 2023 will provide an opportunity for PhD students to present their current research and to discuss their findings with Senior Academics in their respective fields. Papers published in the Special Issue “Selected Papers from the 29th International Joint Conference on Industrial Engineering and Operations Management” will be focused on recent advances in the general topics of production and industrial engineering, circular economy, digital transformation, Industry 4.0, logistics and supply chain management, operations research, service operations, and servitization.

Dr. João Reis
Dr. Gaudêncio Freires
Dr. Milton Vieira
Dr. Francisco Silva Pinto
Dr. Miguel Vieira
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • general topics of production and industrial engineering
  • sustainable operations and supply chain management
  • digital transformation and data science
  • healthcare management
  • human development and digital training for operation management in emergencies
  • humanitarian operations management
  • Industry 4.0 and cyberphysical systems
  • information systems in operations
  • innovation, product, and service development
  • last mile delivery optimization
  • lean and agile operations
  • logistics and supply chain management
  • operations in the public sector
  • operations research
  • operations strategy planning, scheduling, and control
  • project management

  • retail operations
  • service operations management and servitization
  • stochastic inventory models and optimization
  • supply chain risk models and resilience
  • teaching and learning in industrial engineering and operations management
  • total quality management
  • transport system engineering

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Published Papers (2 papers)

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Research

21 pages, 7081 KiB  
Article
Research on the Dual-Objective Scheduling of the Pipeline Path of Liquid Terminal Resources Based on a Hybrid Algorithm
by Lingxin Kong, Hanbin Xiao, Chaoyu Wang, Xinjie Yuan and Min Liu
Appl. Sci. 2024, 14(14), 6195; https://doi.org/10.3390/app14146195 - 16 Jul 2024
Viewed by 594
Abstract
With the daily use of liquid cargoes such as crude oil and their derivatives, the global transportation of liquid cargoes has developed rapidly. Liquid cargoes are mainly transported via tankers and pipelines. In the liquid terminal, the handling operations and internal transportation operations [...] Read more.
With the daily use of liquid cargoes such as crude oil and their derivatives, the global transportation of liquid cargoes has developed rapidly. Liquid cargoes are mainly transported via tankers and pipelines. In the liquid terminal, the handling operations and internal transportation operations are conducted using oil transfer arms and pipelines, and the pipeline path of the cargo is selected using valves. The number of times a valve opens and closes and the length of pipeline paths are the main factors that affect handling time and cost. In addition, different types of valves have different operating costs and levels of operating energy consumption. At this stage, most of the valve selection work is still manually completed, which consumes a lot of time and generates high labor costs, and the actual operation efficiency is low. In this paper, the cargo unloading pipeline path is the main research object, the problem of oil transfer arms–valves–pipeline (PAVP) is proposed, and a dual-objective model is established, accounting for total time in port and the unloading cost of the vessel. An NSGA-II-Dijkstra hybrid algorithm is employed to solve the PAVP, and the improved algorithm (INIIDA) is designed to improve the solution speed via an adaptive dynamic probability based on the Pareto level and heaps in the shortest path. The results show that the INIIDA could better address the PAVP than the NSGA-II-Dijkstra hybrid algorithm. Innovative fusion algorithms are employed to improve the efficiency of port operations. Full article
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24 pages, 3030 KiB  
Article
Use of Partial Least Squares Structural Equation Modeling (PLS-SEM) to Improve Plastic Waste Management
by Lucas Menezes Pereira, Vasco Sanchez Rodrigues and Francisco Gaudêncio Mendonça Freires
Appl. Sci. 2024, 14(2), 628; https://doi.org/10.3390/app14020628 - 11 Jan 2024
Cited by 1 | Viewed by 1865
Abstract
This paper aims to propose improvements to plastic waste management performance via Partial Least Squares Structural Equation Modeling (PLS-SEM) using a survey’s structured questionnaire and hypothesis testing. The methodology has been applied to the metropolis of Salvador, Brazil’s third most populated city, although [...] Read more.
This paper aims to propose improvements to plastic waste management performance via Partial Least Squares Structural Equation Modeling (PLS-SEM) using a survey’s structured questionnaire and hypothesis testing. The methodology has been applied to the metropolis of Salvador, Brazil’s third most populated city, although it can be used for other cities worldwide. All the indicators, constructs, and hypotheses concerning collection, sorting, and recycling came from a literature review. The dependence of the performance on efficiency, effectiveness, the municipality’s socioeconomic aspects, and the municipality’s infrastructure was evaluated, and both academic and practitioner public representatives were surveyed. Since almost double the minimum number of respondents answered the questionnaire and the PLS-SEM statistics showed that the modeling presents consistency, the discussion is relevant. The final results show that the respondents rated the volume of processing to be slightly more significant than the market maturity for the effectiveness of plastic waste management, which in turn contributes to performance. Once the positive influence of the municipality’s infrastructure on performance has also been verified, the Deposit-Return Systems (DRSs) should be considered for improvement, in addition to an increase in the availability of selective collection systems, contributing to the growth of both the recycling rate and business profitability, reflections of performance. Full article
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