Abstract

Applications of sustainable supplier selection criteria in supply chain management are less developed compared to other evaluation methods. This study focuses on three main dimensions of sustainable supplier performance: economic, environmental, and social criteria. The research aims to identify significant criteria within each dimension that are crucial for the sustainable supplier selection process. These criteria will be utilized to develop a hybrid decision support system that integrates a fuzzy inference system with multi-objective linear programming. This comprehensive model will evaluate and benchmark supplier sustainable performance, providing an overall assessment of supplier performance. The proposed model offers a holistic approach to supplier evaluation, considering not only the economic aspects but also the environmental impact and social responsibility of suppliers. By incorporating these dimensions, the model ensures that the selection process aligns with broader sustainability goals. This approach enables companies to make more informed and sustainable decisions, ultimately contributing to a more resilient and responsible supply chain. Furthermore, the integration of a fuzzy inference system allows for handling the inherent uncertainty and vagueness in supplier performance data, while multi-objective linear programming facilitates the optimization of multiple conflicting objectives. This combination enhances the robustness and reliability of the decision-making process, making it a valuable tool for supply chain managers. In summary, the proposed model provides a comprehensive framework for evaluating and benchmarking supplier sustainable performance, supporting more informed and sustainable decision-making in supply chain management.

Publication Date

1-7-2025

Document Type

Master's Project

Student Type

Graduate

Degree Name

Engineering Management (ME)

Advisor

Dua Weraikat

Campus

RIT Dubai

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