Abstract:

Since the success of suppliers affects the success of the entire supply chain, the main source of external risks in supply chains is accepted as suppliers. The ability of suppliers to manage risks and deal with uncertain situations will increase the resilience of the supply chain. In an increasing and varying competitive environment, supplier selection is a complex process that requires decision-makers to consider multiple quantitative and qualitative criteria in order to achieve the best result. The aim of this study is to propose a new multi-criteria decision making (MCDM) approach for resilient supplier selection in the textile industry. In the first stage, the criteria affecting the resilience of the supply chain are defined using expert opinion. As fuzzy set theory helps us better understand and predict uncertainty, the Fuzzy Analytic Hierarchy Process (FAHP) is used to determine the weight of the defined criteria and the Fuzzy Additive Ratio ASsessment (FARAS) to rank suppliers. A real case study is conducted for a company in the textile industry to demonstrate the effectiveness of the proposed MCDM approach. The findings show that the most important factor in the selection of resilient suppliers is resiliency, and the supplier flexibility and responsiveness are found the most important sub-criteria within this factor. The results of this research will assist researchers and decision makers in identifying and applying appropriate methods to identify the most accurate suppliers in the textile industry.

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