Ranking factors affecting supply chain risk with a combined approach of neutrosophic analytical hierarchy process and TOPSIS

Supply chain risk management involves identifying, ranking, and adopting appropriate strategies to control and deal with risks that could disrupt chain performance. Different issues can cause these risks, and descriptions and surveys about these risks are associated with uncertainty, ambiguity, qualitativeness, and incomplete and sometimes contradictory information. Therefore, their ranking needs techniques that can model the mentioned issues. Neutrosophic logic makes it possible to model propositions with uncertainty, incomplete information, ambiguity, qualitativeness, and even inconsistency. Accordingly, the approach of the present study is to use a combined method of Neutrosophic hierarchical analysis and TOPSIS for ranking the risk. The core of this paper proposes a hybrid decision-making method for the identification and ranking of supply chain management using a Neutrosophic Analytical Hierarchy Process (AHP) and TOPSIS approach. The case study is Mobarakeh Steel Company of Isfahan, and three criteria, including resilience, agility, and robustness, are considered major strategies for dealing with risk. Seventeen risk-related issues are ranked as options. The results show that government constraints, economic and environmental risks, inventory shortages, technology risks, forecast risks, and financial (cash) problems are the most essential risks threatening the supply chain. Therefore, we believe that the proposed framework provides managers with valuable knowledge for decision-making.