A Fuzzy Delphi-BWM-TOPSIS Hybrid Approach to Assessment Suppliers Resilience

Document Type : Original Article

Author

Assistant Professor, Department of Management, Faculty of Management and Accounting, Bu-Ali Sina University, Hamedan, Iran; m.ajalli@basu.ac.ir

Abstract
Identifying and evaluating the key parameters of resilience on the evaluating of suppliers in order to select the best resource supplier in the industry is very important. For this purpose, in this study, after a comprehensive review of the literature and the application of fuzzy Delphi technique and using the opinions of petrochemical upstream industry experts, six key and general parameters of supplier resilience (including key performance factors, supplier responsiveness, supplier risk reduction, supplier technical support, supplier stability, information technology management) were identified in eighteen factors. Then the weight of the parameters was determined using the best-worst method (BWM). The output of this method indicates the extraction of "supplier risk mitigation systems" and "key performance factors" as the most important parameters, respectively. Then, the five suppliers of the mentioned industry were evaluated and ranked using TOPSIS (technique for order performance by similarity to ideal solution) technique and based on the extracted weight of the parameters. The output showed that the fourth supplier was in the first place and the second supplier was in the last place. Thus, the proposed model of this research can be a good guide for upstream petrochemical industries in the successful and future evaluation of potential suppliers in order to improve supply and achieve competitive advantage and further satisfy customer needs.

Keywords


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