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17 pages, 2091 KiB  
Article
The Assessment of the Influence of Low-Frequency Electromagnetic Fields Originated from the Power Infrastructure on Humans’ Health
by Leszek Sławomir Litzbarski, Marek Olesz, Grzegorz Redlarski, Piotr Mateusz Tojza, Arkadiusz Żak, Emanuel Gifuni, Zuzanna Cieślikowska and Mieszko Czapliński
Appl. Sci. 2024, 14(21), 9668; https://doi.org/10.3390/app14219668 - 23 Oct 2024
Viewed by 874
Abstract
The objective of this study is to assess the impact of low-frequency electromagnetic fields (LF EMFs) generated by power infrastructure on the nearby environment. Measurements of electric (E) and magnetic (H) field intensities were conducted around high-voltage power lines, [...] Read more.
The objective of this study is to assess the impact of low-frequency electromagnetic fields (LF EMFs) generated by power infrastructure on the nearby environment. Measurements of electric (E) and magnetic (H) field intensities were conducted around high-voltage power lines, transformer stations and facilities related to them. Numerical simulations were also performed to model the distribution of the field values around real buildings in close proximity to power delivery systems. Given the ongoing scientific debate regarding the effects of EMFs on living organisms, the current analysis was based on the existing standards—particularly ICNIRP 2010 guidelines, which set the maximum allowable E and magnetic induction (B) values at 5 kV/m and 200 μT, respectively. Stricter national regulations were also examined, such as Poland’s 1 kV/m E limit in residential areas and Belgium’s 10 μT limit for B. The results showed that while most cases complied with ICNIRP 2010 standards, certain stricter local regulations were exceeded. Specifically, 9 of 14 cases exceeded Poland’s E limits, and 8 failed to meet Belgium’s B requirements. Only in one place—a warehouse near 110 kV power lines (in a critical case)—the ICNIRP limit B was exceeded. These findings underscore the variability in regulatory standards and highlight the need for localized assessments of EMF exposure. Full article
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24 pages, 696 KiB  
Article
A Performance Analysis of Hybrid and Columnar Cloud Databases for Efficient Schema Design in Distributed Data Warehouse as a Service
by Fred Eduardo Revoredo Rabelo Ferreira and Robson do Nascimento Fidalgo
Data 2024, 9(8), 99; https://doi.org/10.3390/data9080099 - 5 Aug 2024
Viewed by 1290
Abstract
A Data Warehouse (DW) is a centralized database that stores large volumes of historical data for analysis and reporting. In a world where enterprise data grows exponentially, new architectures are being investigated to overcome the deficiencies of traditional Database Management Systems (DBMSs), driving [...] Read more.
A Data Warehouse (DW) is a centralized database that stores large volumes of historical data for analysis and reporting. In a world where enterprise data grows exponentially, new architectures are being investigated to overcome the deficiencies of traditional Database Management Systems (DBMSs), driving a shift towards more modern, cloud-based solutions that provide resources such as distributed processing, columnar storage, and horizontal scalability without the overhead of physical hardware management, i.e., a Database as a Service (DBaaS). Choosing the appropriate class of DBMS is a critical decision for organizations, and there are important differences that impact data volume and query performance (e.g., architecture, data models, and storage) to support analytics in a distributed cloud environment efficiently. In this sense, we carry out an experimental evaluation to analyze the performance of several DBaaS and the impact of data modeling, specifically the usage of a partially normalized Star Schema and a fully denormalized Flat Table Schema, to further comprehend their behavior in different configurations and designs in terms of data schema, storage form, memory availability, and cluster size. The analysis is done in two volumes of data generated by a well-established benchmark, comparing the performance of the DW in terms of average execution time, memory usage, data volume, and loading time. Our results provide guidelines for efficient DW design, showing, for example, that the denormalization of the schema does not guarantee improved performance, as solutions performed differently depending on its architecture. We also show that a Hybrid Processing (HTAP) NewSQL solution can outperform solutions that support only Online Analytical Processing (OLAP) in terms of overall execution time, but that the performance of each query is deeply influenced by its selectivity and by the number of join functions. Full article
(This article belongs to the Section Information Systems and Data Management)
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15 pages, 1141 KiB  
Article
Vertical Takeoff and Landing for Distribution of Parcels to Hospitals: A Case Study about Industry 5.0 Application in Israel’s Healthcare Arena
by Michael Naor, Gavriel David Pinto, Pini Davidov, Yuval Cohen, Linor Izchaki, Mukarram Hadieh and Malak Ghaith
Sustainability 2024, 16(11), 4682; https://doi.org/10.3390/su16114682 - 31 May 2024
Cited by 2 | Viewed by 1314
Abstract
To gain a sustained competitive advantage, organizations such as UPS, Fedex, Amazon, etc., began to seek for industry 5.0 innovative autonomous delivery options for the last mile. Autonomous unmanned aerial vehicles are a promising alternative for the logistics industry. The fact that drones [...] Read more.
To gain a sustained competitive advantage, organizations such as UPS, Fedex, Amazon, etc., began to seek for industry 5.0 innovative autonomous delivery options for the last mile. Autonomous unmanned aerial vehicles are a promising alternative for the logistics industry. The fact that drones are propelled by green renewable energy source fits the companies’ need to become sustainable, replacing their fuel truck fleets, especially for traveling to remote rural locations to deliver small packages, but a major obstacle is the necessity for charging stations which is well documented in the literature. Therefore, the current research embarks on devising a novel yet practical piece of technology adopting the simplicity approach of direct flights to destinations. The analysis showcases the application for a network of warehouses and hospitals in Israel while controlling costs. Given the products in the case study are medical, direct flight has the potential to save lives when every moment counts. Hydrogen cell technology allows long-range flying without refueling, and it is both vibration-free which is essential for sensitive medical equipment and environmentally friendly in terms of air pollution and silence in urban areas. Importantly, hydrogen cells are lighter, with higher energy density than batteries, which makes them ideal for drone usage to reduce weight, maintain a longer life, and enable faster charging, all of which minimize downtime. Also, hydrogen sourcing is low-cost and unlimited compared to lithium-ion material which needs to be mined. The case study investigates an Israeli entrepreneurial company, Gadfin, which builds a vertical takeoff-and-landing-type of drone with folded wings that enable higher speed for the delivery of refrigerated medical cargo, blood, organs for transplant, and more to hospitals in partnership with the Israeli medical logistic conglomerate, SAREL. An analysis of shipping optimization (concerning the number and type of drone) is conducted using a mixed-integer linear programming technique based on various types of constraints such as traveling distance, parcel weight, the amount of flight controllers and daily number of flights allowed in order to not overcrowd the airspace. Importantly, the discussion assesses the ecosystem’s variety of risks and commensurate safety mechanisms for advancing a newly shaped landscape of drones in an Israeli tight airspace to establish a network of national routes for drone traffic. The conclusion of this research cautions limitations to overcome as the utilization of drones expand and offers future research avenues. Full article
(This article belongs to the Special Issue Smart Sustainable Techniques and Technologies for Industry 5.0)
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22 pages, 1051 KiB  
Article
Practices to Improve the Sustainability of Australian Cold Storage Facilities
by Angus McLay, Gavin Morant, Kelilah Breisch, John Rodwell and Scott Rayburg
Sustainability 2024, 16(11), 4584; https://doi.org/10.3390/su16114584 - 28 May 2024
Viewed by 1504
Abstract
With the ever-increasing threat of climate change and global warming, ways to make energy intensive buildings, such as cold storage warehouses essential for food preservation, more sustainable need to be found. Some refrigerated warehouse owners may be unaware or unsure of the benefits [...] Read more.
With the ever-increasing threat of climate change and global warming, ways to make energy intensive buildings, such as cold storage warehouses essential for food preservation, more sustainable need to be found. Some refrigerated warehouse owners may be unaware or unsure of the benefits obtainable from implementing sustainable practices and technologies. To search for innovations that could inform the owners and managers of cold storage warehouses about how to enhance their sustainability, convergent interviewing of subject matter experts was conducted. The resulting practices and processes were organized into a hierarchy that ranged from essential to best practices that can be implemented to improve the sustainability of refrigerated warehouses. Examples of these practices and technologies include ideal refrigeration systems, racking methods, and insulation types. To encourage the use of sustainable practices and technologies, more reporting on successful or unsuccessful applications of practices and technologies needs to be communicated. Applying change diagnostic tools such as convergent interviewing enables a practical and industry focused set of outcomes to be determined that can help drive change towards more sustainable cold storage warehouses in Australia. Full article
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13 pages, 3900 KiB  
Article
Application Cluster Analysis as a Support form Modelling and Digitalizing the Logistics Processes in Warehousing
by Jana Kronova, Gabriela Izarikova, Peter Trebuna, Miriam Pekarcikova and Milan Filo
Appl. Sci. 2024, 14(11), 4343; https://doi.org/10.3390/app14114343 - 21 May 2024
Cited by 1 | Viewed by 786
Abstract
The article deals with the application of cluster analysis in modeling in-house processes, specifically supply processes. An algorithm is designed on the theoretical basis of cluster analysis and according to the analysis of the supply processes in selected industrial companies. Specifically, the algorithm [...] Read more.
The article deals with the application of cluster analysis in modeling in-house processes, specifically supply processes. An algorithm is designed on the theoretical basis of cluster analysis and according to the analysis of the supply processes in selected industrial companies. Specifically, the algorithm is based on the hierarchical methods of cluster analysis, and the selected hierarchical clustering method is applicable in modeling storage systems under various production conditions in industrial companies. The methodology of clustering regarding the supply processes is subsequently experimentally verified. Based on the results of the cluster analysis, a system of organization was proposed for the analyzed warehouse in the form of 2D and 3D layout models of the warehouse. Full article
(This article belongs to the Special Issue Automation and Digitization in Industry: Advances and Applications)
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10 pages, 450 KiB  
Article
Minimization of Costs with Picking and Storage Operations
by Cristina Lopes and Ana Oliveira
Systems 2024, 12(5), 158; https://doi.org/10.3390/systems12050158 - 1 May 2024
Cited by 1 | Viewed by 1624
Abstract
This work presents two mixed-integer programming models that intend to minimize the costs of the picking and storage operation through better planning and organization of the places occupied by the products in the warehouse. A large customer that stores frozen goods in a [...] Read more.
This work presents two mixed-integer programming models that intend to minimize the costs of the picking and storage operation through better planning and organization of the places occupied by the products in the warehouse. A large customer that stores frozen goods in a Portuguese cold chain logistics company was selected for the analysis of the allocation of the products in the warehouse and of the corresponding outbound movements. Data with 8525 movements that occurred during 2021 were collected for 228 different product references. For this case study, the products that had a picking place in the initial scenario now have pallets with all the goods in the reserve area, and vice versa. The mathematical models were permitted to obtain savings for the logistics operator costs of around 30.9%. The proposed models can, in the future, be applied in other warehouse scenarios to companies in completely different sectors of activity. Full article
(This article belongs to the Special Issue Digital Transformation and Processes Innovation)
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20 pages, 1750 KiB  
Article
Theoretical Framework for Virtual Logistics Centers Creation
by Vytautas Paulauskas, Ludmiła Filina-Dawidowicz, Viktoras Senčila, Donatas Paulauskas and Birutė Plačienė
Sustainability 2024, 16(9), 3680; https://doi.org/10.3390/su16093680 - 28 Apr 2024
Cited by 2 | Viewed by 1285
Abstract
Intermodal terminals and warehouses operate in different countries and deliver specific services to their customers. For many clients, it is important to receive a full set of the logistics services delivered by a single operator. However, individual intermodal terminals and warehouses may face [...] Read more.
Intermodal terminals and warehouses operate in different countries and deliver specific services to their customers. For many clients, it is important to receive a full set of the logistics services delivered by a single operator. However, individual intermodal terminals and warehouses may face challenges with providing these services, e.g., just-in-time goods delivery, goods distribution, cargo handling in non-standard situations, and others. In such cases, the cooperation between logistics companies may be required to organize the comprehensive service of cargo within supply chains. One of the possible solutions is to integrate transport and logistics services providers, establishing their cooperation within one virtual logistics center. The aim of this article is to justify theoretically the possibility of creating such a center by combining services performed by the intermodal terminals and warehouses already in operation under a single entity, in order to minimize the cost of logistics services and the time of goods delivery, as well as to create a comprehensive range of logistics services needed by customers. The relevance of the article and the novelty of the idea are associated with justification of the possibility of combining the activities of intermodal terminals and warehouses located separately in the region in order to improve the logistical service of customers. The theoretical basis for creating a virtual logistics center is based on graph theory methods. The article presents a theoretical model, based on a system of edges and vertices of the graph tree, which corresponds to the activities performed by separately located intermodal terminals and individual warehouses. The discussion is focused on the current problems of creating virtual logistics centers. The research results may be interesting for the managers of intermodal terminals, warehouses, and logistics centers, as well as other decision-makers involved in supply chains implementation and development. Full article
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16 pages, 1790 KiB  
Article
Improving the Quality of Warehousing Processes in the Context of the Logistics Sector
by Nijolė Batarlienė and Aldona Jarašūnienė
Sustainability 2024, 16(6), 2595; https://doi.org/10.3390/su16062595 - 21 Mar 2024
Cited by 1 | Viewed by 6053
Abstract
Logistics processes play a crucial role in ensuring the smooth operation of the supply chain, and warehouse management is one of the key logistics activities of invaluable significance. To evaluate the management principles of companies, it is necessary to thoroughly analyze their functions, [...] Read more.
Logistics processes play a crucial role in ensuring the smooth operation of the supply chain, and warehouse management is one of the key logistics activities of invaluable significance. To evaluate the management principles of companies, it is necessary to thoroughly analyze their functions, operational standards, and quality requirements. One of the most common strategies in modern businesses is quality improvement. Insufficient quality can lead to competitive disadvantages and have negative consequences for companies that do not prioritize quality and neglect their services and products, resulting in a loss of customer loyalty and revenue. Effective warehouse management is critically important for companies to meet consumer needs, reduce costs, and gain a competitive advantage. Conducting qualitative research is necessary in order to learn how to properly organize warehouse management within companies, which will also help to identify key issues and determine areas for change. This article consists of a theoretical section that analyzes the scientific literature on the quality of warehouse process management in the logistics sector. It examines theoretical aspects of logistics processes and quality assurance in company management, including the implementation of systems that ensure quality in warehouse processes and logistics process management. The subsequent sections describe the research methods applied, evaluate the results of warehouse management quality, and provide insights and recommendations. Full article
(This article belongs to the Special Issue Sustainable Transportation: Logistics and Route Network Aspects)
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15 pages, 1614 KiB  
Article
Prioritization of Volatile Organic Compound Reduction in the Tire Manufacturing Industry through Speciation of Volatile Organic Compounds Emitted at the Fenceline
by Hyo Eun Lee, Jeong Hun Kim, Daram Seo and Seok J. Yoon
Atmosphere 2024, 15(2), 223; https://doi.org/10.3390/atmos15020223 - 13 Feb 2024
Cited by 1 | Viewed by 1440
Abstract
Volatile organic compounds (VOCs), with their ubiquitous presence across numerous global industries, pose multifaceted challenges, influencing air pollution and health outcomes. In response, countries such as the United States and Canada have implemented fenceline monitoring systems, enabling real-time tracking of organic solvents, including [...] Read more.
Volatile organic compounds (VOCs), with their ubiquitous presence across numerous global industries, pose multifaceted challenges, influencing air pollution and health outcomes. In response, countries such as the United States and Canada have implemented fenceline monitoring systems, enabling real-time tracking of organic solvents, including benzene. Initially, this focus was predominantly placed on the petroleum refining industry, but it has gradually been broadening. This investigation seeks to identify and analyze the specific VOCs produced in the tire manufacturing sector by utilizing both active and passive monitoring methodologies. The findings of the present study aim to recommend prioritized reduction strategies for specific VOCs. Percentage means the ratio of VOCs detected at the research site. At research target facility A, active monitoring demonstrated the presence of Methylene chloride (20.7%) and Carbon tetrachloride (15.3%), whereas passive monitoring identified Carbon tetrachloride (43.4%) and m,p-Xylene (20.8%). After converting these substances to their equivalent concentrations, we found a noteworthy correlation between the active and passive methodologies. At research target facility B, active monitoring detected n-Pentane (45.5%) and Isoprene (11.4%), while passive monitoring revealed Toluene (21.3%) and iso-Hexane (15.8%). Interestingly, even at sites like warehouses and test tracks where VOC concentrations were projected to be low, we observed VOC levels comparable to those in process areas. This underlines the fact that the dispersal of VOCs is considerably influenced by wind direction and speed. Specifically, in the tire manufacturing industry, emissions of Xylene and 3-Methylhexane, both having high photochemical ozone creation potential (POCP), contribute significantly to air pollution. However, the overall detection concentration in the tire manufacturing industry was detected at a low concentration of less than 2 μg/m3. This is less than 9 μg/m3, which is the standard for benzene, which has strong carcinogenicity regulations. This suggests that additional research is needed on synthetic rubber manufacturing rather than tire manufacturing. Full article
(This article belongs to the Special Issue Mechanisms of Urban Ozone Pollution)
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21 pages, 836 KiB  
Review
Driving Efficiency and Competitiveness: Trends and Innovations in ERP Systems for the Wood Industry
by Karla Vukman, Kristina Klarić, Krešimir Greger and Ivana Perić
Forests 2024, 15(2), 230; https://doi.org/10.3390/f15020230 - 25 Jan 2024
Viewed by 3908
Abstract
Enterprise Resource Planning (ERP) systems offer various functionalities to support an organization’s core functions. However, many anticipated benefits often need to materialize due to business context changes and users’ high expectations. Continuous adaptation and improvement are necessary to address user disappointments. This research [...] Read more.
Enterprise Resource Planning (ERP) systems offer various functionalities to support an organization’s core functions. However, many anticipated benefits often need to materialize due to business context changes and users’ high expectations. Continuous adaptation and improvement are necessary to address user disappointments. This research focuses on ERP systems, exploring key factors influencing the success of their implementation. Recognizing challenges in ERP system implementation, this study provides a comprehensive literature review, identifying essential and contemporary Critical Success Factors (CSFs) influenced by technological advancements. Addressing challenges specific to the wood industry, this research introduces additional industry-adapted CSFs, including industry adaptability, integration with production machinery, effective warehouse management, and supply chain tracking. Furthermore, this paper emphasizes the need for continuous adaptation and improvement of ERP systems, especially in light of current trends and technological achievements. This study recommends a holistic approach, considering traditional or essential CSFs while adapting to new trends. Critical success factors in ERP implementation in the next decade involve considering cloud technology, artificial intelligence and machine learning, data security, mobile access, IoT integration, user experience, and training. The main objective of this paper is to identify the latest CSFs in ERP implementation. This research highlights essential success factors in ERP implementation, and contemporary trends in ERP implementation with a particular focus on the specifics of wood industry. While organizations should aim to maximize the potential of ERP systems, they should also acknowledge the crucial role played by human intervention in the effective and responsible implementation of artificial intelligence. Full article
(This article belongs to the Special Issue Impact of Global Economic Changes on the Wood-Based Industry)
13 pages, 3918 KiB  
Article
Off-Gassing and Oxygen Depletion in Headspaces of Solid Biofuels Produced from Forest Residue Biomass
by Kazimierz Warmiński, Klaudia Anna Jankowska, Agnieszka Bęś and Mariusz Jerzy Stolarski
Energies 2024, 17(1), 216; https://doi.org/10.3390/en17010216 - 30 Dec 2023
Viewed by 1052
Abstract
As living standards improve worldwide, the demand for energy increases. However, climate changes and decreasing fossil fuel deposits have increased interest in renewable energy sources, including pellets produced from forest residues. This study aimed to compare changes in concentration of gases (CO, CO [...] Read more.
As living standards improve worldwide, the demand for energy increases. However, climate changes and decreasing fossil fuel deposits have increased interest in renewable energy sources, including pellets produced from forest residues. This study aimed to compare changes in concentration of gases (CO, CO2, O2, volatile organic compounds—VOCs) in enclosed headspaces above pellets produced from deciduous (oak OA, birch BI) and coniferous (pine PI, spruce SP) dendromass and selected types of commercial pellets during their storage. The experiment measured the concentration of gas released from the pellets in storage daily for 14 days. The highest mean CO concentration was found for PI pellets (1194 ppm), and the lowest was for OA (63.3 ppm). Likewise, the highest CO2 concentration was noted for PI pellets (4650 ppm), and the lowest was for BI (1279 ppm). The largest VOC amount was released in the headspace above PI (88.8 ppm), and the smallest was above BI (4.6 ppm). The oxygen concentration was the lowest as measured for PI (minimum 16.1% v/v) and for SP (19.3% v/v). The threshold limit value (8 h) for CO was exceeded for all the pellets under analysis and, in the case of CO2, only for PI after day 10 of incubation. The study findings are extremely important from a scientific (but mainly from a practical) perspective because of the safety of storing and transporting wood pellets. The knowledge of autooxidation processes in those biofuels can help organize their logistics and storage and result in proper warehouse ventilation and monitoring of noxious gases. Full article
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26 pages, 4352 KiB  
Article
Effect of Mycotoxins in Silage on Biogas Production
by Antonín Kintl, Tomáš Vítěz, Igor Huňady, Julie Sobotková, Tereza Hammerschmiedt, Monika Vítězová, Martin Brtnický, Jiří Holátko and Jakub Elbl
Bioengineering 2023, 10(12), 1387; https://doi.org/10.3390/bioengineering10121387 - 2 Dec 2023
Viewed by 1715
Abstract
Mycotoxins can pose a threat to biogas production as they can contaminate the feedstock used in biogas production, such as agricultural crops and other organic materials. This research study evaluated the contents of deoxynivalenol (DON), zearalenone (ZEA), fumonisin (FUM), and aflatoxin (AFL) mycotoxins [...] Read more.
Mycotoxins can pose a threat to biogas production as they can contaminate the feedstock used in biogas production, such as agricultural crops and other organic materials. This research study evaluated the contents of deoxynivalenol (DON), zearalenone (ZEA), fumonisin (FUM), and aflatoxin (AFL) mycotoxins in maize silage prior to it being processed in a biogas plant and in digestate produced at the end of the anaerobic digestion (AD) process. In the experiment, three samples of silage were collected from one silage warehouse: Variant 1 = low contamination, Variant 2 = medium contamination, and Variant 3 = heavy contamination, which were subjected to investigation. A significantly reduced biogas production was recorded that was proportional to the increasing contamination with molds, which was primarily due to the AD of silage caused by technologically erroneous silage treatment. The AD was connected with changes in silage composition expressed by the values of VS content, sugar content, lactic acid content, acetic acid content, and the ratio of lactic acid content to acetic acid content. The production of biogas and methane decreased with the increasing contents of NDF, ADF, CF, and lignin. The only exception was Variant 2, in which the content of ADF, CF, and lignin was lower (by 8–11%) than that in Variant 1, and only the content of NDF was higher (by 9%) than that in Variant 1. A secondary factor that also correlated with changes in the composition of the substrate was the development of undesirable organisms, which further contributed to its degradation and to the production of mycotoxins. It was also demonstrated in this study that during the AD process, the tested mycotoxins were degraded, and their content was reduced by 27–100%. Only the variant with low mold contamination showed a DON concentration increase of 27.8%. Full article
(This article belongs to the Special Issue From Residues to Bio-Based Products through Bioprocess Engineering)
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27 pages, 8048 KiB  
Article
Pervasive Real-Time Analytical Framework—A Case Study on Car Parking Monitoring
by Francisca Barros, Beatriz Rodrigues, José Vieira and Filipe Portela
Information 2023, 14(11), 584; https://doi.org/10.3390/info14110584 - 25 Oct 2023
Viewed by 1939
Abstract
Due to the amount of data emerging, it is necessary to use an online analytical processing (OLAP) framework capable of responding to the needs of industries. Processes such as drill-down, roll-up, three-dimensional analysis, and data filtering are fundamental for the perception of information. [...] Read more.
Due to the amount of data emerging, it is necessary to use an online analytical processing (OLAP) framework capable of responding to the needs of industries. Processes such as drill-down, roll-up, three-dimensional analysis, and data filtering are fundamental for the perception of information. This article demonstrates the OLAP framework developed as a valuable and effective solution in decision making. To develop an OLAP framework, it was necessary to create the extract, transform and load the (ETL) process, build a data warehouse, and develop the OLAP via cube.js. Finally, it was essential to design a solution that adds more value to the organizations and presents several characteristics to support the entire data analysis process. A backend API (application programming interface) to route the data via MySQL was required, as well as a frontend and a data visualization layer. The OLAP framework was developed for the ioCity project. However, its great advantage is its versatility, which allows any industry to use it in its system. One ETL process, one data warehouse, one OLAP model, six indicators, and one OLAP framework were developed (with one frontend and one API backend). In conclusion, this article demonstrates the importance of a modular, adaptable, and scalable tool in the data analysis process and in supporting decision making. Full article
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29 pages, 1004 KiB  
Review
A General Overview of Overhead Multi-Station Multi-Shuttle Systems and the Innovative Applications Trend in Vietnam
by Thuy Duy Truong, Nguyen Huu Loc Khuu, Quoc Dien Le, Tran Thanh Cong Vu, Hoa Binh Tran and Tuong Quan Vo
Appl. Sci. 2023, 13(19), 11036; https://doi.org/10.3390/app131911036 - 7 Oct 2023
Cited by 2 | Viewed by 2608
Abstract
Research and development on a global scale have been conducted on overhead hoist transportation systems (OHTSs) in recent years. The majority of these systems are utilized in manufacturing facilities that are either semiautomated or fully automated. By using stochastic models to evaluate medication [...] Read more.
Research and development on a global scale have been conducted on overhead hoist transportation systems (OHTSs) in recent years. The majority of these systems are utilized in manufacturing facilities that are either semiautomated or fully automated. By using stochastic models to evaluate medication distribution and product delivery processes in automated delivery systems, hospitals can reduce patient waiting times and drug response times. Warehouses are being transformed into fully automated fulfillment factories by using conveyors and shelf-lifting mobile robots, which reduce waiting times and improve efficiency. Modern warehouses are increasingly becoming fully automated fulfillment facilities as a response to the significant development of e-commerce. A significant number of organizations are using mobile robots or conveyor systems to transport shelves. The parts-to-picker model is used to transport stock-keeping units (SKUs) to stationary pickers at picking workstations. The aim of this study is to analyze and organize the relationship between transportation system families. They are utilized in various fields, such as warehouses, hospitals, airports, cross-dockings, etc. Furthermore, this study categorizes a range of synchronization issues that arise from minor variations in workstation configurations within different warehouse settings. Next, we identify a multistation ATS (automatic transportation system) that switches lines to different stations by using overhead conveyors and active line-switching devices. Vietnam’s automated freight problem can be solved with this potential solution. Our study’s findings suggest that enhancing the workstation layout can significantly enhance throughput performance. As a result, the benefits of synchronization can surpass those provided by other well-studied decision tasks. Full article
(This article belongs to the Special Issue Automation and Intelligent Control Systems)
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26 pages, 5277 KiB  
Article
Towards a Conceptual Framework for Data Management in Business Intelligence
by Ramakolote Judas Mositsa, John Andrew Van der Poll and Cyrille Dongmo
Information 2023, 14(10), 547; https://doi.org/10.3390/info14100547 - 6 Oct 2023
Cited by 3 | Viewed by 4177
Abstract
Business intelligence (BI) refers to technologies, tools, and practices for collecting, integrating, analyzing, and presenting large volumes of information to enable improved decision-making. A modern BI architecture typically consists of a data warehouse made up of one or more data marts that consolidate [...] Read more.
Business intelligence (BI) refers to technologies, tools, and practices for collecting, integrating, analyzing, and presenting large volumes of information to enable improved decision-making. A modern BI architecture typically consists of a data warehouse made up of one or more data marts that consolidate data from several operational databases. BI further incorporates a combination of analytics, data management, and reporting tools, together with associated methodologies for managing and analyzing data. An important goal of BI initiatives is to improve business decision-making for organizations to increase revenue, improve operational efficiency, and gain a competitive advantage. In this article, we analyze qualitatively various prominent business intelligence (BI) frameworks in the literature and develop a comprehensive BI framework from these. Through the technique of qualitative propositions, we identify the properties, respective advantages, and possible disadvantages of the said BI frameworks to develop a comprehensive framework aimed mainly at data management, incorporating the advantages and eliminating the disadvantages of the individual frameworks. The BI landscape is vast, so as a limitation, we note that the new framework is conceptual; hence, no implementation or any quantitative measurement is performed at this stage. That said, our work exhibits originality since it combines numerous BI frameworks into a comprehensive framework, thereby contributing to conceptual BI framework development. As part of future work, the new framework will be formally specified, followed by a practical phase, namely, conducting case studies in the industry to assist companies in their BI applications. Full article
(This article belongs to the Special Issue Storage Method for Real-Time Big Data on the Internet of Things)
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