Modern Research in Decision Making

Assessment and management of supply chain risks using fuzzy inference system, a case study of Gilan Tobacco Company

Document Type : Original Article

Authors

babak Ejlaly 1
mohammad hosein Karimi Ghovareshki 2
Jafar Gheidar-Kheljani 2

1 PhD Student, Department of Industrial Engineering, Faculty of Management and Industrial Engineering, Malek Ashtar University of Technology, Tehran, Iran

2 Associate Professor, Department of Industrial Engineering, Faculty of Management and Industrial Engineering, Malek Ashtar University of Technology, Tehran, Iran

Abstract
Risk management in the supply chain and its impact on the competitiveness, dynamism and agility of large industries is considered a key factor in capturing market share, reducing the influence of competitors, and the survival of large companies. In this new approach, by introducing a systematic model to extract each risk from the subset to which it belongs, we identify the risks in the system and calculate the amount of each risk using the risk priority score method. Then, by introducing a three-level fuzzy inference system model as a powerful tool to analyze and assess the impact of each risk in supply chain management, we will analyze the results. The final model was implemented in the Guilan Tobacco Company as a case study, the fuzzy inference system model was implemented with MATLAB software, and the results obtained were compared with the weighted simple sum fuzzy decision-making method, and the accuracy of the results was confirmed. This research, by introducing a comprehensive model for controlling and extracting all potential risks in the supply chain and analyzing each risk through a fuzzy inference system, can help managers improve productivity and competitiveness due to its high performance and speed of response in uncertain conditions. One of the most important results of this research is the identification of the status of each risk, which senior managers must quickly control by taking corrective actions for these risks (risks that are at a medium or high level).

Keywords

: Risk management
Gilan Tobacco Company
Fuzzy inference system
Fuzzy simple weighted average decision making method
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Modern Research in Decision Making
Volume 9, Issue 4
Autumn 2024
Pages 155-186

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