Data driven supplier selection as a circular economy enabler: A Taguchi capability index for manufactured products with asymmetric tolerances
•This study develops a Taguchi capability index for TBL perspectives incurred due to poor product quality.•A practical challenge is that many quality characteristics possess asymmetric tolerances.•A data driven supplier selection model uses a Taguchi capability index with asymmetric tolerances.•Math...
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| Veröffentlicht in: | Advanced engineering informatics Jg. 47; S. 101249 |
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| Format: | Journal Article |
| Sprache: | Englisch |
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01.01.2021
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| ISSN: | 1474-0346, 1873-5320 |
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| Abstract | •This study develops a Taguchi capability index for TBL perspectives incurred due to poor product quality.•A practical challenge is that many quality characteristics possess asymmetric tolerances.•A data driven supplier selection model uses a Taguchi capability index with asymmetric tolerances.•Mathematical programming obtains the confidence intervals to construct fuzzy membership functions.
Prior studies have failed to account for the effect of product quality on the sustainability of supply chain networks. To address this gap, this study develops a Taguchi capability index that considers the economic, environmental, and social losses incurred due to poor product quality that leads to process losses. These product quality measures give a foundation for the operationalization of the circular economy concept, which is now receiving a growing level of attention from both firms and governments throughout the world. Sustainable supply chain management models that integrate upstream and downstream operations are increasing in popularity due to globalized competition, where the quality of components from each supplier affects the quality of the final product. One practical challenge is that many quality characteristics possess asymmetric tolerances. This study develops a comprehensive supplier selection model based on process quality, using a Taguchi capability index with asymmetric tolerances as an instrument for data driven supplier selection. Mathematical programming is used to obtain the confidence intervals of the indices to construct fuzzy membership functions. A fuzzy hypothesis testing method is then used to select suppliers taking into account uncertainty associated with measurement data. A case study illustrates the effectiveness of the methodology to assist firms in selecting the suppliers, and thus improve the sustainability of supply chain networks as a circular economy enabler. |
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| AbstractList | •This study develops a Taguchi capability index for TBL perspectives incurred due to poor product quality.•A practical challenge is that many quality characteristics possess asymmetric tolerances.•A data driven supplier selection model uses a Taguchi capability index with asymmetric tolerances.•Mathematical programming obtains the confidence intervals to construct fuzzy membership functions.
Prior studies have failed to account for the effect of product quality on the sustainability of supply chain networks. To address this gap, this study develops a Taguchi capability index that considers the economic, environmental, and social losses incurred due to poor product quality that leads to process losses. These product quality measures give a foundation for the operationalization of the circular economy concept, which is now receiving a growing level of attention from both firms and governments throughout the world. Sustainable supply chain management models that integrate upstream and downstream operations are increasing in popularity due to globalized competition, where the quality of components from each supplier affects the quality of the final product. One practical challenge is that many quality characteristics possess asymmetric tolerances. This study develops a comprehensive supplier selection model based on process quality, using a Taguchi capability index with asymmetric tolerances as an instrument for data driven supplier selection. Mathematical programming is used to obtain the confidence intervals of the indices to construct fuzzy membership functions. A fuzzy hypothesis testing method is then used to select suppliers taking into account uncertainty associated with measurement data. A case study illustrates the effectiveness of the methodology to assist firms in selecting the suppliers, and thus improve the sustainability of supply chain networks as a circular economy enabler. |
| ArticleNumber | 101249 |
| Author | Ali, Mohd Helmi Tseng, Ming-Lang Chen, Kuen-Suan Wang, Chin-Hsin Tan, Raymond R. Negash, Yeneneh Tamirat |
| Author_xml | – sequence: 1 givenname: Chin-Hsin surname: Wang fullname: Wang, Chin-Hsin email: thomas_6701@yahoo.com.tw organization: Department of Industrial Engineering and Management, National Chin-Yi University of Technology, Taichung 41170, Taiwan – sequence: 2 givenname: Mohd Helmi surname: Ali fullname: Ali, Mohd Helmi email: mohdhelmiali@ukm.edu.my organization: Faculty of Economics and Management, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia – sequence: 3 givenname: Kuen-Suan surname: Chen fullname: Chen, Kuen-Suan email: kschen@ncut.edu.tw organization: Department of Industrial Engineering and Management, National Chin-Yi University of Technology, Taichung 41170, Taiwan – sequence: 4 givenname: Yeneneh Tamirat surname: Negash fullname: Negash, Yeneneh Tamirat email: yeneneh@asia.edu.tw organization: Institute of Innovation and Circular Economy, Asia University Taiwan, Taichung, Taiwan – sequence: 5 givenname: Ming-Lang surname: Tseng fullname: Tseng, Ming-Lang email: tsengminglang@gmail.com organization: Institute of Innovation and Circular Economy, Asia University Taiwan, Taichung, Taiwan – sequence: 6 givenname: Raymond R. surname: Tan fullname: Tan, Raymond R. email: raymond.tan@dlsu.edu.ph organization: Chemical Engineering Department, De La Salle University, Manila, Philippines |
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| Keywords | Taguchi capability index Loss function Membership function Data driven supplier selection Circular economy Fuzzy numbers |
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| SubjectTerms | Circular economy Data driven supplier selection Fuzzy numbers Loss function Membership function Taguchi capability index |
| Title | Data driven supplier selection as a circular economy enabler: A Taguchi capability index for manufactured products with asymmetric tolerances |
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