The sustainable supplier selection problem is a strategic problem that plays a significant role in promoting the sustainability of the supply chain. Selecting a qualified supplier leads to reducing costs, increasing positive social effects, and reducing negative environmental effects. Therefore, in this research, a framework for evaluating and ranking suppliers from the circularity and sustainability perspectives is developed using multi-criteria decision-making methods. First, with an in-depth review of the literature, we extract the evaluation criteria from economic, green, and social facets and identify the most important ones by applying the fuzzy Delphi method. Then, the fuzzy best-worst method is used to calculate the independent weight of the factors (aspects and criteria), followed by the fuzzy DEMATEL technique to analyze the causal relationship between the aspects. To validate the proposed framework, we use the data and experts' knowledge of an electrical equipment manufacturing company in Iran. For this purpose, we evaluate the performance of five suppliers of this company with the help of four experts and rank the suppliers using the proposed framework.
The sustainable supplier selection problem is a strategic problem that plays a significant role in promoting the sustainability of the supply chain. Selecting a qualified supplier leads to reducing costs, increasing positive social effects, and reducing negative environmental effects. Therefore, in this research, a framework for evaluating and ranking suppliers from the circularity and sustainability perspectives is developed using multi-criteria decision-making methods. First, with an in-depth review of the literature, we extract the evaluation criteria from economic, green, and social facets and identify the most important ones by applying the fuzzy Delphi method. Then, the fuzzy best-worst method is used to calculate the independent weight of the factors (aspects and criteria), followed by the fuzzy DEMATEL technique to analyze the causal relationship between the aspects. To validate the proposed framework, we use the data and experts' knowledge of an electrical equipment manufacturing company in Iran. For this purpose, we evaluate the performance of five suppliers of this company with the help of four experts and rank the suppliers using the proposed framework.
A Multi-Criteria Decision-Making-based Approach for Green Supplier Evaluation Applied to the Electrical Industry.
AFSHARI, MOJTABA
2023/2024
Abstract
The sustainable supplier selection problem is a strategic problem that plays a significant role in promoting the sustainability of the supply chain. Selecting a qualified supplier leads to reducing costs, increasing positive social effects, and reducing negative environmental effects. Therefore, in this research, a framework for evaluating and ranking suppliers from the circularity and sustainability perspectives is developed using multi-criteria decision-making methods. First, with an in-depth review of the literature, we extract the evaluation criteria from economic, green, and social facets and identify the most important ones by applying the fuzzy Delphi method. Then, the fuzzy best-worst method is used to calculate the independent weight of the factors (aspects and criteria), followed by the fuzzy DEMATEL technique to analyze the causal relationship between the aspects. To validate the proposed framework, we use the data and experts' knowledge of an electrical equipment manufacturing company in Iran. For this purpose, we evaluate the performance of five suppliers of this company with the help of four experts and rank the suppliers using the proposed framework.File | Dimensione | Formato | |
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Mojtaba.Afshari MA Thesis. (1) (1).pdf
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https://hdl.handle.net/20.500.12608/78622