A Two-Stage Multi-Criteria Supplier Selection Model for Sustainable Automotive Supply Chain under Uncertainty
Sustainable supplier selection (SSS) is gaining popularity as a practical method to supply chain sustainability among academics and practitioners. However, in addition to balancing economic, social, and environmental factors, the emergence of the COVID-19 pandemic has affected the selection of long-...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-05-01
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| Series: | Axioms |
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| Online Access: | https://www.mdpi.com/2075-1680/11/5/228 |
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| author | Thanh-Tuan Dang Ngoc-Ai-Thy Nguyen Van-Thanh-Tien Nguyen Le-Thanh-Hieu Dang |
| author_facet | Thanh-Tuan Dang Ngoc-Ai-Thy Nguyen Van-Thanh-Tien Nguyen Le-Thanh-Hieu Dang |
| author_sort | Thanh-Tuan Dang |
| collection | DOAJ |
| description | Sustainable supplier selection (SSS) is gaining popularity as a practical method to supply chain sustainability among academics and practitioners. However, in addition to balancing economic, social, and environmental factors, the emergence of the COVID-19 pandemic has affected the selection of long-term suppliers to ensure sustainable supply chains, recover better from the pandemic and effectively respond to any future unprecedented crises. The purpose of this study is to assess and choose a possible supplier based on their capability to adapt to the COVID-19 epidemic in a sustainable manner. For this assessment, a framework based on multi-criteria decision making (MCDM) is provided that integrates spherical fuzzy Analytical Hierarchical Process (SF-AHP) and grey Complex Proportional Assessment (G-COPRAS), in which spherical fuzzy sets and grey numbers are used to express the ambiguous linguistic evaluation statements of experts. In the first stage, the evaluation criteria system is identified through a literature review and experts’ opinions. The SF-AHP is then used to determine the criteria weights. Finally, the G-COPRAS method is utilized to select sustainable suppliers. A case study in the automotive industry in Vietnam is presented to demonstrate the proposed approach’s effectiveness. From the SF-AHP findings, “quality”, “use of personal protective equipment”, “cost/price”, “safety and health practices and wellbeing of suppliers”, and “economic recovery programs” have been ranked as the five most important criteria. From G-COPRAS analysis, THACO Parts (Supplier 02) is the best supplier. A sensitivity study was also conducted to verify the robustness of the proposed model, in which the priority rankings of the best suppliers are very similar. For long-term development and increased competitiveness, industrial businesses must stress the integration of response mechanisms during SSS implementation in the COVID-19 epidemic, according to the findings. This will result in significant cost and resource savings, as well as reduced environmental consequences and a long-term supply chain, independent of the crisis. |
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| issn | 2075-1680 |
| language | English |
| last_indexed | 2024-03-10T03:20:42Z |
| publishDate | 2022-05-01 |
| publisher | MDPI AG |
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| series | Axioms |
| spelling | doaj.art-bd0d63901e7a4a51bbcaa9d887c021052023-11-23T10:04:22ZengMDPI AGAxioms2075-16802022-05-0111522810.3390/axioms11050228A Two-Stage Multi-Criteria Supplier Selection Model for Sustainable Automotive Supply Chain under UncertaintyThanh-Tuan Dang0Ngoc-Ai-Thy Nguyen1Van-Thanh-Tien Nguyen2Le-Thanh-Hieu Dang3Department of Industrial Engineering and Management, National Kaohsiung University of Science and Technology, Kaohsiung 807618, TaiwanDepartment of Industrial Engineering and Management, National Kaohsiung University of Science and Technology, Kaohsiung 807618, TaiwanDepartment of Industrial Engineering and Management, National Kaohsiung University of Science and Technology, Kaohsiung 807618, TaiwanDepartment of Industrial Engineering and Management, National Kaohsiung University of Science and Technology, Kaohsiung 807618, TaiwanSustainable supplier selection (SSS) is gaining popularity as a practical method to supply chain sustainability among academics and practitioners. However, in addition to balancing economic, social, and environmental factors, the emergence of the COVID-19 pandemic has affected the selection of long-term suppliers to ensure sustainable supply chains, recover better from the pandemic and effectively respond to any future unprecedented crises. The purpose of this study is to assess and choose a possible supplier based on their capability to adapt to the COVID-19 epidemic in a sustainable manner. For this assessment, a framework based on multi-criteria decision making (MCDM) is provided that integrates spherical fuzzy Analytical Hierarchical Process (SF-AHP) and grey Complex Proportional Assessment (G-COPRAS), in which spherical fuzzy sets and grey numbers are used to express the ambiguous linguistic evaluation statements of experts. In the first stage, the evaluation criteria system is identified through a literature review and experts’ opinions. The SF-AHP is then used to determine the criteria weights. Finally, the G-COPRAS method is utilized to select sustainable suppliers. A case study in the automotive industry in Vietnam is presented to demonstrate the proposed approach’s effectiveness. From the SF-AHP findings, “quality”, “use of personal protective equipment”, “cost/price”, “safety and health practices and wellbeing of suppliers”, and “economic recovery programs” have been ranked as the five most important criteria. From G-COPRAS analysis, THACO Parts (Supplier 02) is the best supplier. A sensitivity study was also conducted to verify the robustness of the proposed model, in which the priority rankings of the best suppliers are very similar. For long-term development and increased competitiveness, industrial businesses must stress the integration of response mechanisms during SSS implementation in the COVID-19 epidemic, according to the findings. This will result in significant cost and resource savings, as well as reduced environmental consequences and a long-term supply chain, independent of the crisis.https://www.mdpi.com/2075-1680/11/5/228COVID-19supplier selectionautomotive industryMCDMfuzzy theorygrey theory |
| spellingShingle | Thanh-Tuan Dang Ngoc-Ai-Thy Nguyen Van-Thanh-Tien Nguyen Le-Thanh-Hieu Dang A Two-Stage Multi-Criteria Supplier Selection Model for Sustainable Automotive Supply Chain under Uncertainty Axioms COVID-19 supplier selection automotive industry MCDM fuzzy theory grey theory |
| title | A Two-Stage Multi-Criteria Supplier Selection Model for Sustainable Automotive Supply Chain under Uncertainty |
| title_full | A Two-Stage Multi-Criteria Supplier Selection Model for Sustainable Automotive Supply Chain under Uncertainty |
| title_fullStr | A Two-Stage Multi-Criteria Supplier Selection Model for Sustainable Automotive Supply Chain under Uncertainty |
| title_full_unstemmed | A Two-Stage Multi-Criteria Supplier Selection Model for Sustainable Automotive Supply Chain under Uncertainty |
| title_short | A Two-Stage Multi-Criteria Supplier Selection Model for Sustainable Automotive Supply Chain under Uncertainty |
| title_sort | two stage multi criteria supplier selection model for sustainable automotive supply chain under uncertainty |
| topic | COVID-19 supplier selection automotive industry MCDM fuzzy theory grey theory |
| url | https://www.mdpi.com/2075-1680/11/5/228 |
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