A decision support tool for sustainable supplier selection in manufacturing firms
<p><strong>Purpose: </strong>Most original equipment manufacturers (OEMs) are strategically involved in supplier base rationalization and increased consciousness of sustainable development thus, reinforcing need for accurately considering sustainability in supplier selection to imp...
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| Format: | Article |
| Language: | English |
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OmniaScience
2014-10-01
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| Series: | Journal of Industrial Engineering and Management |
| Subjects: | |
| Online Access: | http://www.jiem.org/index.php/jiem/article/view/1203 |
| _version_ | 1818600790221127680 |
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| author | Ifeyinwa Orji Sun Wei |
| author_facet | Ifeyinwa Orji Sun Wei |
| author_sort | Ifeyinwa Orji |
| collection | DOAJ |
| description | <p><strong>Purpose: </strong>Most original equipment manufacturers (OEMs) are strategically involved in supplier base rationalization and increased consciousness of sustainable development thus, reinforcing need for accurately considering sustainability in supplier selection to improve organizational performance. In real industrial case, imprecise data, ambiguity of human judgment, uncertainty among sustainability factors and the need to capture all subjective and objective criteria are unavoidable and pose huge challenge to accurately incorporate sustainability factors into supplier selection.</p><p><strong>Methodology: </strong>This study develops a model based on integrated multi- criteria decision making (MCDM) methods to solve such problems. The developed model applies Fuzzy logic, DEMATEL and TOPSIS to effectively analyze the interdependencies between sustainability criteria and to select the best sustainable supplier in fuzzy environment while capturing all subjective and objective criteria. A case study is illustrated to test the proposed model in a gear manufacturing company, an OEM to provide insights and for practical applications.</p><p><strong>Findings: </strong>Results show that social factors of sustainability ranks as the most important in supplier selection. However, the most influential sustainability sub- criteria are work safety (WS) and quality.</p><p><strong>Originality/Value:</strong> The model is capable of capturing all subjective and objective criteria in fuzzy environment to accurately incorporate sustainability factors in supplier selection. It is decision support tool relevant for providing insights to managers while implementing sustainable supplier selection.</p> |
| first_indexed | 2024-12-16T12:41:05Z |
| format | Article |
| id | doaj.art-4240f730f94843a790cfc2d9b648556f |
| institution | Directory Open Access Journal |
| issn | 2013-8423 2013-0953 |
| language | English |
| last_indexed | 2024-12-16T12:41:05Z |
| publishDate | 2014-10-01 |
| publisher | OmniaScience |
| record_format | Article |
| series | Journal of Industrial Engineering and Management |
| spelling | doaj.art-4240f730f94843a790cfc2d9b648556f2022-12-21T22:31:24ZengOmniaScienceJournal of Industrial Engineering and Management2013-84232013-09532014-10-01751293131510.3926/jiem.1203308A decision support tool for sustainable supplier selection in manufacturing firmsIfeyinwa Orji0Sun Wei1Dalian University of TechnologyDalian University of Technology<p><strong>Purpose: </strong>Most original equipment manufacturers (OEMs) are strategically involved in supplier base rationalization and increased consciousness of sustainable development thus, reinforcing need for accurately considering sustainability in supplier selection to improve organizational performance. In real industrial case, imprecise data, ambiguity of human judgment, uncertainty among sustainability factors and the need to capture all subjective and objective criteria are unavoidable and pose huge challenge to accurately incorporate sustainability factors into supplier selection.</p><p><strong>Methodology: </strong>This study develops a model based on integrated multi- criteria decision making (MCDM) methods to solve such problems. The developed model applies Fuzzy logic, DEMATEL and TOPSIS to effectively analyze the interdependencies between sustainability criteria and to select the best sustainable supplier in fuzzy environment while capturing all subjective and objective criteria. A case study is illustrated to test the proposed model in a gear manufacturing company, an OEM to provide insights and for practical applications.</p><p><strong>Findings: </strong>Results show that social factors of sustainability ranks as the most important in supplier selection. However, the most influential sustainability sub- criteria are work safety (WS) and quality.</p><p><strong>Originality/Value:</strong> The model is capable of capturing all subjective and objective criteria in fuzzy environment to accurately incorporate sustainability factors in supplier selection. It is decision support tool relevant for providing insights to managers while implementing sustainable supplier selection.</p>http://www.jiem.org/index.php/jiem/article/view/1203supplier selectionsustainabilitysupply chainOriginal equipment manufacturers (OEM). |
| spellingShingle | Ifeyinwa Orji Sun Wei A decision support tool for sustainable supplier selection in manufacturing firms Journal of Industrial Engineering and Management supplier selection sustainability supply chain Original equipment manufacturers (OEM). |
| title | A decision support tool for sustainable supplier selection in manufacturing firms |
| title_full | A decision support tool for sustainable supplier selection in manufacturing firms |
| title_fullStr | A decision support tool for sustainable supplier selection in manufacturing firms |
| title_full_unstemmed | A decision support tool for sustainable supplier selection in manufacturing firms |
| title_short | A decision support tool for sustainable supplier selection in manufacturing firms |
| title_sort | decision support tool for sustainable supplier selection in manufacturing firms |
| topic | supplier selection sustainability supply chain Original equipment manufacturers (OEM). |
| url | http://www.jiem.org/index.php/jiem/article/view/1203 |
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