Sustainability plays a significant role in promoting competence and collaboration in supply chain management due to increased environmental awareness, tightened regulations, and government policies. The evaluation of sustainable suppliers and selecting the best one is indispensable for companies to promote sustainability. Due to multi-criteria nature of the supplier selection process, it has been considered as a multi-criteria decision making (MCDM) problem in many studies. In this study, a state-of-the-art MCDM method for sustainable supplier selection is developed by integrating AHP and TOPSIS techniques within the Pythagorean Fuzzy Sets (PFSs) linguistic setting. A Group Decision Making (GDM) environment is utilized due to superiority of group consensus over individual decisions. Finally, an apparel industry example is used to illustrate the effectiveness and feasibility of the proposed sustainable supplier selection method. A comparison with existing techniques and sensitivity analysis are done to verify and validate the given outcome.
Sustainability Supplier Selection Group Decision Making (GDM) Analytic Hierarchy Process (AHP) Technique for Order Preferences by Similarity to Ideal Solution (TOPSIS) Pythagorean Fuzzy Sets (PFSs)
Primary Language | English |
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Subjects | Chemical Engineering |
Journal Section | Engineering Sciences |
Authors | |
Publication Date | March 29, 2021 |
Submission Date | May 16, 2020 |
Acceptance Date | March 2, 2021 |
Published in Issue | Year 2021Volume: 42 Issue: 1 |