Provide a strategy a model of supply chain performance sustainability in the automotive with a fuzzy network analysis approach

Articles in Press

Document Type : Original Article

Authors

1 Member of the Faculty of Human Sciences, Technical and Vocational University, Tehran, Iran

2 TVU

3 IAU

10.48301/kssa.2023.414800.2691

Abstract

Today, the knowledge and intellectual capital of the organization is a major factor in competition. In this way, achieving and achieving it quickly can be the key to companies' success in a competitive market and plays an important role in empowering supply chain sustainability. The purpose of this paper is to present a model of sustainable performance of automotive chain management practices using fuzzy network analysis process technique. In this study, by reviewing the literature and interviewing experts in this field, first the main variables were identified and their relationships were explained in the form of fuzzy network analysis process, then with the help of system dynamics concepts to evaluate the dynamics of supply chain management practices Large and their effect on supply chain stability performance have been used. Findings show that the presented scenarios make the supply chain more stable. The results also show that resilient and pure strategy are very important strategies in achieving supply chain sustainability. The proposed model helps industry managers and decision makers to identify the results of the implementation of supply chain management practices and, by taking measures, improve practices affecting supply chain sustainability.

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Main Subjects

Karafan Quarterly Scientific Journal

Articles in Press, Accepted Manuscript
Available Online from 14 October 2023

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History

  • Receive Date: 04 September 2023
  • Revise Date: 05 October 2023
  • Accept Date: 11 October 2023

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