Akademik Veri Yönetim Sistemi
Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference, İstanbul, Türkiye, 22 - 24 Ağustos 2023, cilt.758 LNNS, ss.641-651
In today’s business world, the supply chain performances of companies determine their competitiveness. To have a seamless supply chain management system, companies are seeking sustainable suppliers. That’s because, in the business world we live in now, selecting sustainable suppliers has a critical effect on the competitiveness of the entire supply chain network [1]. To determine whether the supplier is sustainable or not, three main criteria of sustainability are taken into account which are called environmental, fiscal, and social sustainability. A supplier which can give the best overall performance according to these criteria should be selected. However, the selection process of the suppliers is consisting of many linguistic terms and their evaluation contains abundant errors due to the human element. Most of the time, linguistic terms might cloud human judgment and make it challenging to select the most appropriate choice. In this study, a sustainable supplier selection has been made by using the newly proposed Spherical Fuzzy the Order of Preference by Similarity to the Ideal Solution (SF-TOPSIS) Method based on the weights determined by a selected expert group of ten people, who are supply chain professionals working for the same company, were tasked to determine the interdependencies of fifteen criteria. This study aims to show that SF-TOPSIS is prosperous to minimize human error and can give the best result.