Abstract
Resilient suppliers can reduce supply chain risk, effectively avoid supply chain disruption, and bring profits to enterprises. However, there is no united measuring index system to evaluate the resilient supplier under supply chain environment, and the assessment language sets are usually crisp values. Therefore, in order to fill the research gap, this paper proposes a hybrid method, which combines triangular fuzzy number, the best-worst method (BWM), and the modular TOPSIS in random environments for group decision-making (GMo-RTOPSIS) to solve the above problem. Firstly, the weight of decision-maker is calculated by using fuzzy BWM which can deal with triangular fuzzy numbers. Secondly, triangular fuzzy number is introduced into GMo-RTOPSIS, and combined with fuzzy BWM, alternatives are sorted to select the best resilient supply chain partner. Finally, the feasibility and universality of this method are proved by illustrative examples.
Highlights
As a result of globalization, supply chains are confronted with natural disasters, man-made disasters, and technological threats at any time [1]
This paper presents a supplier selection model based on the combination of fuzzy best-worst method (BWM) and GMo-RTOPSIS
The weights of decision-makers are obtained based on fuzzy BWM
Summary
As a result of globalization, supply chains are confronted with natural disasters, man-made disasters, and technological threats at any time [1]. Resilience is a necessary factor in the selection of suppliers, and how to choose more resilient suppliers has become the research object of scholars. Haldar et al [13] combined fuzzy TOPSIS and fuzzy weight method to select resilient suppliers, which can reduce the vulnerability of supply chain system. Through literature review, we find that the supplier selection in resilient supply chain still has limitations. In order to fill the research gap, we proposed a method combining fuzzy BWM and improved TOPSIS to determine the weight of decision-makers and rank the alternatives for supplier selection in resilient supply chain. The second section is literature review; the third section proposes the evaluation criteria of resilient supplier selection under supply chain environment.
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