Modeling the Enablers of Industry 4.0 in the Implementation of a Sustainable Supply Chain with Fuzzy DEMATEL-ANP

Document Type : Original Article

Authors

1 PhD student, Department of Industrial Management, Economics, Management and Accounting Faculty, Yazd University, Yazd, Iran.

2 Associate Professor, Department of Industrial Management, Economics, Management and Accounting Faculty, Yazd University, Yazd, Iran.

3 Assistant Professor, Department of Industrial Management, Economics, Management and Accounting Faculty, Yazd University, Yazd, Iran.

Abstract

The purpose of this paper is to identify the enablers of Industry 4.0 supply chain sustainability and further attempt to propose a research framework to bridge the theoretical gaps. At first, the enablers that influence the adoption of sustainability capability were identified through the review of domestic and foreign articles using the meta-combination method. After identification, the enablers were compared through a questionnaire and provided to 12 experts in the field of tile manufacturing industries in Yazd province. Using the information obtained from the questionnaire and its analysis through the combined method of DEMATEL-Fuzzy Network Analysis Process, a model was ultimately presented. The research results of the meta-combination section identified 114 open codes, 26 central codes, and finally 7 selective codes. The selected codes include organizational, production system, environmental, product, economic, technological, and social factors, which were analyzed using the combined method of Fuzzy Dematel-ANP. The relations and importance of these enablers were examined, and It was determined that the "technology" dimension is the most influential, the "product" dimension is the most susceptible, and the "economic" dimension is the most important dimension.

Keywords

Main Subjects

References

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