Assessment of suppliers through the resiliency and sustainability paradigms using a new MCDM model under interval type-2 fuzzy sets

Abstract

Abstract Today, improvement and development must occur in all parts of the supply chain, and supplier selection as the starting point of the chain must be considered one of the most critical parts of planning. In the current competitive and unstable environment, in selecting the best suppliers, common approaches such as resilience and sustainability can be helpful for organizations in terms of sustainability and competitive advantage. Therefore, designing a sustainable and resilient supply chain model and considering all these parameters can effectively provide products and services. Also, to consider real-world uncertainties, interval type-2 trapezoidal fuzzy sets (IT2TFSs) are used because these sets are more powerful than classical fuzzy sets and better reflect uncertainties. Then, a new version of the MULTIMOORA model called MULTIMOOSRA is extended. In this model, the importance of the criteria is specified using the best-worst method. The importance of experts is defined using a new version of the MABAC approach developed by the average concept. Then the rank of each supplier is determined by the developed MULTIMOOSRA method. Notably, the proposed approach is developed in the IT2TF environment to consider the uncertainties of real issues and the ambiguity caused by experts' opinions in the decision-making process. Eventually, a case study is solved utilizing the proposed approach, and the best supplier is determined under resilient and sustainable paradigms.