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Sustainable Manufacturing Evaluation Based on Enterprise Industry 4.0 Technologies
Faculty
Computer Science
Year:
2022
Type of Publication:
ZU Hosted
Pages:
Authors:
Khalid Aly Eldrandaly Mohamed Saeed Eldrandaly
Staff Zu Site
Abstract In Staff Site
Journal:
SUSTAINABILITY MDPI
Volume:
Keywords :
Sustainable Manufacturing Evaluation Based , Enterprise Industry
Abstract:
ost studies in recent decades focused on transforming linear economics into circular through recovering and remanufacturing the products. Circular Economies (CE) aim to minimize the usage of resources by utilizing the waste in production as new or raw materials. Interconnectivity between parties in the industrial system provides decision-makers with rich information and anticipation of failure. Industry 4.0 technologies (I4.0) allow for handling such issues, protecting the environment by utilizing resources efficiently, and restructuring the industry to be smarter as well. This paper contributes to achieving cleaner production (CP), CE, and social for manufacturers through the linkage between 6R methodology with new technologies of I4.0 such as Blockchain technology (BCT) and big data analytical technology (BDA). In this paper, the authors proposed a Multi-criteria decision-making (MCDM) decision framework based on the best-worst method (BWM), Decision-Making trial and evaluation laboratory (DEMATEL), Technique for order of preference by similarity to ideal solution (TOPSIS), and Complex Proportional Assessment (COPRAS). The authors contributed to addressing the weaknesses and problems of these subjective MCDM methods through the cooperation of the neutrosophic theory with the usage of MCDM methods in this work. In the first stage, all criteria that influence sustainable manufacturer selection are specified using literature research on this topic. BWM-based neutrosophic theory was combined to get the criteria’s weights with the aid of DEMATEL-based neutrosophic to obtain the least and best criteria used in BWM in the second stage. The optimal sustainable manufacturer was selected based on TOPSIS and COPRAS under neutrosophic theory in the third and fourth stages, respectively. Furthermore, a case study performed indicated manufacturer 2 (A2) is an optimal sustainable manufacturer in two ranking methods otherwise, manufacturer 4 (A4) is the worst sustainable manufacturer. The contribution of this work is to propose a hybrid MCDM with an uncertainty theory of neutrosophic for sustainable manufacturer selection based BDA-BCT with 6R. Sensitivity analyses were carried out to show the decision’s flexibility in various scenarios. Finally, the consequences for management viewpoints were considered.
Author Related Publications
Khalid Aly Eldrandaly Mohamed Saeed Eldrandaly, "An Expert GIS-Based ANP-OWA Decision Making Framework for Tourism Development Site Selection", MECS Publisher, 2014
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Khalid Aly Eldrandaly Mohamed Saeed Eldrandaly, "A Modified Artificial Bee Colony Algorithm for Solving Least-Cost Path Problem in Raster GIS", Natural Sciences Publishing Corporation., 2015
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Khalid Aly Eldrandaly Mohamed Saeed Eldrandaly, "A COM-based Spatial Decision Support System for Industrial Site Selection", GIDA, 2003
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Khalid Aly Eldrandaly Mohamed Saeed Eldrandaly, "Integrating GIS and MCDM Using COM Technology", Zarqa University., 2005
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Khalid Aly Eldrandaly Mohamed Saeed Eldrandaly, "A COM-based expert system for selecting the suitable map projection in ArcGIS", Elsevier Limited., 2006
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