| Title | Green supplier selection for the steel industry using BWM and fuzzy TOPSIS: A case study of Khouzestan steel company |
|---|---|
| ID_Doc | 69140 |
| Authors | Javad, MOM; Darvishi, M; Javad, AOM |
| Title | Green supplier selection for the steel industry using BWM and fuzzy TOPSIS: A case study of Khouzestan steel company |
| Year | 2020 |
| Published | |
| Abstract | Green supply chain management increasingly has emerged as an essential approach for many business enterprises and organizations to become environmentally sustainable. Suppliers play an important role in creating a sustain-able supply chain. This study aims at selecting suppliers of Khouzestan Steel Company (KSC) based on their green innovation ability. In this research, the Company???s alternative suppliers are identified and the most effective crite-ria for supplier selection based on the supplier???s green innovation abilities is determined. The Best-Worst Method is used to rank the various criteria of green supplier selection in the multi-criteria decision-making problem. Then, the Fuzzy TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) is employed to rank the various suppliers based on weighted criteria for selecting the most effective suppliers among set of alternative suppliers. This study contributes to finding the key factors of selecting green suppliers for KSC. Analyzing the KSC supplier selection???s key factors indicate that the green innovations criteria should be given more attention by KSC in the green supplier selection. The outcome of this research is helpful to rank the suppliers consequently based on their green innovation abilities. The organizations can replicate the proposed supplier selection framework for other suppliers such as spare parts, consumable materials and technical, design, and development services suppliers. Sensitivity analysis is also performed in order to check the robustness of the framework and eliminate the effect of biasness. Limitations of the study along with future research directions are also presented. |
| https://doi.org/10.1016/j.sftr.2020.100012 |
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