Author: Dr. Satyapal Kumar
DOI Link: https://doi.org/10.70798/Bijmrd/04040009
Abstract: Supplier selection plays a crucial role in achieving sustainability within modern supply chains, as organizations must balance economic performance with environmental and social responsibilities. The decision making process is inherently complex due to the presence of multiple conflicting criteria and uncertainty in evaluation data. To address these challenges, this paper proposes a fuzzy multi-criteria decision-making (MCDM) approach for sustainable supplier selection. The proposed framework integrates fuzzy set theory with established MCDM techniques to effectively handle vagueness and imprecision in expert judgments. Linguistic assessments are modeled using triangular fuzzy numbers, enabling decision makers to express preferences in a flexible manner. The methodology systematically evaluates and ranks potential suppliers based on sustainability-related criteria such as cost, quality, environmental impact, and social responsibility. A numerical illustration is presented to demonstrate the applicability and effectiveness of the proposed approach. The results indicate that the fuzzy MCDM framework provides consistent and reliable supplier rankings, supporting decision makers in selecting the most suitable sustainable suppliers. The proposed model offers a practical decision support tool for improving sustainability performance in supply chain management.
Keywords: Fuzzy Sets, Multi-Criteria Decision Making, Sustainable Supplier Selection, Fuzzy Ahp, Fuzzy Topsis, Supply Chain Management.
Page No: 59-70