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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:
Mohammed Abdel Basset Metwally Attia
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.
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Department Related Publications
Khalid Aly Eldrandaly Mohamed Saeed Eldrandaly, "GIS software selection: a multi-criteria decision making approach", Monash University ePress., 2007
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Soaad Mohamed Nagieb, "A Knowledge-Based System for GIS Software Selection", Zarqa University., 2013
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Khalid Aly Eldrandaly Mohamed Saeed Eldrandaly, "A Knowledge-Based System for GIS Software Selection", Zarqa University., 2013
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Khalid Aly Eldrandaly Mohamed Saeed Eldrandaly, "Exploring multi-criteria decision strategies in GIS with linguistic quantifiers: an extension of the analytical network process using ordered weighted averaging operators", Taylor and Francis Ltd., 2013
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Mai Mohamed Abass Morsy Shomaan, "e-Business Web Portals Evaluation", Alex, Egypt, 2009
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