Evaluation of sustainable supply chain risk management using an integrated fuzzy TOPSIS- CRITIC approach

Abstract

Supply chain risk management research has mainly mistreated the important of sustainability issues. Moreover, there is little knowledge about sustainable management of risk and supply chain and the way they impose losses for firms. Risk management's duty in the supply chain is to identify, analyze, and provide solutions for accountability, control and monitor the risks in the economic and production cycle. This study aims to develop a framework for the sustainable supply chain risk management (SSCRM) evaluation. To this end, an integrated fuzzy multi-criteria decision-making (MCDM) approach is proposed based on the technique in order of preference by similarity to ideal solution (TOPSIS) and criteria importance through inter-criteria correlation (CRITIC) methods. The literature was reviewed and the potential criteria were identified. Through an expert panel the criteria were filtered. Seven main criteria and forty-four sub-criteria were developed for the final evaluation SSCRM framework. The most dominant sub-criteria in each group found to be as; machines & equipment risks, key supplier failures, demand fluctuations, government policy risks, IT security, economic issues, and lack of proper sewage infiltration. Besides, A2 (Nouri complex) found to be the best practitioner. The methodology is successfully implemented in a real case company. The detailed account of implications and limitations are presented as the concluding remarks.