Abstract
The supplier selection problem (SSP) is a significant issue in renewable supply chain management (RSCM). Selecting a strategic green supplier can not only discover the sustainable development of supply chains but also optimize the consumption rate of resources and decrease the negative environmental effects, which adopts to the green development context. As a multiple criteria group decision-making (MCGDM) problem, choosing a strategic green supplier is important to renewable supply chains. However, how to choose a strategic green supplier for supply chains is a great effort. Hence, In the present work, evaluating a set of strategic suppliers is primarily based on green capabilities by using an integrated fuzzy Best Worst Method (FBWM) with the other two techniques, namely COPRAS (Complex Proportional Assessment of Alternatives) and WASPAS (Weighted Aggregated Sum-Product Assessment). Initially, nine strategic supplier selection criteria have been identified through literature review and a real-world case study of Iran's renewable energy supply chain is deliberated to exhibit the proposed framework's applicability. The applied methodology and its analysis will provide insight to decision-makers of strategic supplier selection. It may aid decision-makers and the procurement department in differentiating the significant strategic green supplier selection criteria and assess the strategic green supplier in the local and global market supply chain. Finally, the strengths and limitation of the framework are discussed by using comparative analysis with other methods.
Highlights
The demand for energy across the globe has experienced a substantial unquestionable surge
A ranking representation built upon fuzzy notions is proposed for planned supplier selection (SS) under eco-design capacities across the renewable energy SC
The introduced mixed framework was found to be credible through conducting a case study on the renewable energy industry of Iran
Summary
The demand for energy across the globe has experienced a substantial unquestionable surge. In addition to an incon siderable number of papers on the renewable energy SC, the supplier problem has not been dealt with in any inquiries This could lead to the conclusion that choosing a likely supplier is a complicated procedure of decision-making aimed at narrowing down the initial number of suppliers to the ultimate selection within the RE industry. Three widespread MCDM approaches were employed to rate and choose the most suitable likely supplier; these approaches entailed WASPAS (Weighted Aggregated Sum-Product Assessment) and COPRAS (Technique for Order Preference by Similarity to Ideal Solu tion) integrated with the fuzzy set model. The fourth segment entails a mathematical rep resentation involving an all-inclusive practical clarification of the adopted approaches The purpose behind this segment was to offer a more detailed observation on the significance of FST (Fuzzy Set Theory) along with the decision-making procedure. The sixth and last segment includes an investigation of the findings and recommendations for future attempts
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