Karafan Journal

Karafan Journal

Presenting a Sustainable Performance Strategy in the Automotive Supply Chain Using Fuzzy Network Analysis

Document Type : Original Article

Authors
Kamran Rahimi 1
Alireza Agha gholizadeh sayar 2
Mehdi Izadyar 3
1 Faculty Member, Department of Humanities, Technical and Vocational University (TVU), Tehran, Iran.
2 PhD of Industrial Management, Department of Humanities, Technical and Vocational University (TVU), Tehran, Iran.
3 PhD of Industrial Management, Department of Humanities, Olum Va Tahghighat (IAU), Tehran, Iran.
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 a company's 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 strategy of automotive chain management practices using the 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 a fuzzy network analysis process. Then, with the aid of system dynamics concepts, these variables were used to evaluate the dynamics of large supply chain management indicators and their impact on sustainable performance in the supply chain. The findings demonstrated that the presented scenarios make the supply chain more stable. The results also showed that resilient and pure strategies are very important strategies in achieving supply chain sustainability. The proposed model could help 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. 
Keywords
Supply Chain
Supply Chain Management System Dynamics
Fuzzy Analytic Network Process
Subjects
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Karafan Journal
Volume 21, Issue 1 - Serial Number 66
Engineering & Technical
Spring 2024
Pages 335-354

  • Receive Date 04 September 2023
  • Revise Date 13 February 2023
  • Accept Date 10 April 2023