![]() This paper ends with research and theoretical findings, managerial insights and directions for future research. ![]() The proposed approach provides an accurate sustainable ranking of suppliers and a reliable solution for sustainable sourcing decisions that is validated through a real-world case study. This research presents an intuitionistic fuzzy TOPSIS method to select the right sustainable supplier that concerns nine criteria and thirty sub-criteria for an automotive spare parts manufacturer. It is also a challenging problem since multi-criteria group decision-making is engaged with numerous conflicting requirements in which decision makers’ knowledge is commonly imprecise and vague. A sustainable supplier selection is the first step towards this trend. Comparison of both methods was made based on the analysis of mathematical procedures considering the structure of the problem depicted by the illustrative application case. The concept of sustainability is becoming an essential philosophy for numerous industrial sectors because of the increase in environmental protection and social obligations awareness. Algorithms of the methods Fuzzy TOPSIS and Fuzzy AHP were developed in Matlab and applied to the selection of suppliers of a company.
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