Fuzzy TOPSIS Method for Sustainable Supplier Assortment in Green Supply Chain Management

INTRODUCTION: Green supply chain management represents one of the crucial ways for organizations to start minimizing their ecological footprint in the era of increasing ecological preoccupation and sustainability objectives. The critical issues of green supply chain management involve the assortment of green suppliers who are well-suited with the environmental objectives of organizations. Traditional methods of supplier selection cannot efficiently depict the complex, uncertain nature of sustainability criteria. In this respect, the Fuzzy Technique for Order of Preference by Similarity to Ideal Solution, shortly known as Fuzzy TOPSIS, is proposed for usage in this research for improving the process of supplier assortment in green supply chain management. OBJECTIVES: The aim of this work is, therefore, to present an integrated framework, utilizing the Fuzzy TOPSIS method for selecting sustainable suppliers in green supply chain management. The particular aim of the study will be to incorporate environmental, social, as well as economic criteria in performance evaluation at the supplier level, by considering innate uncertainties and fuzziness related to sustainability metrics. METHODS: The Fuzzy TOPSIS process is applied to assess and rank potential suppliers based on multiple criteria considering both environmental and economic factors. RESULTS: Application of the Fuzzy TOPSIS method in sustainable supplier assortment demonstrates its effectiveness in identifying suppliers that align with green objectives while meeting operational requirements. CONCLUSION: The proposed framework will provide a more fine-tuned and flexible tool for decision-makers by incorporating fuzzy logic into the complexities at hand for sustainability assessment. The findings underline the importance of adopting advanced techniques in decision making in order to attain environmental responsibility and long-term sustainability in supply chain operations.