Hybrid analytical hierarchy process model for supplier selection
Purpose - This paper aims to propose a new approach called "analytical hierarchy process weighted fuzzy linear programming model (AHP-FLP)" for supplier selection.Design methodology approach - A hybrid method of supplier selection, AHP-FLP is applied to a real industry case. The weights of...
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| Vydané v: | Industrial management + data systems Ročník 108; číslo 1; s. 122 - 142 |
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| Hlavní autori: | , , , , |
| Médium: | Journal Article |
| Jazyk: | English |
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Wembley
Emerald Group Publishing Limited
01.02.2008
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| ISSN: | 0263-5577, 1758-5783 |
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| Abstract | Purpose - This paper aims to propose a new approach called "analytical hierarchy process weighted fuzzy linear programming model (AHP-FLP)" for supplier selection.Design methodology approach - A hybrid method of supplier selection, AHP-FLP is applied to a real industry case. The weights of the various criteria, taken as local weights from a given judgment matrix, are calculated using analytical hierarchy process (AHP) that are also considered as the weights of the fuzzy linear programming model. This new model is compared with the classical AHP method.Findings - This study concluded that the AHP-FLP method outperforms the AHP method for supplier selection with respect to restricted supplier selection criteria. Drawing on a real case, Supplier 1 was identified to be the best supplier through the AHP model under no restrictions, which contradicts the finding that Supplier 2 was selected as the best supplier by the AHP-FLP model subject to constraints.Research limitations implications - More research is definitely called for within the context of studying a more complex supply chain with multiple supply network and nodes. There is also a crucial need for investigating other hybrid methods to find the optimum supplier.Practical implications - The findings of this study indicate that the weights of supplier selection criteria calculated by the AHP-FLP model are in line with the actual supplier selection decision of purchasing managers. Since the AHP-FLP model is relatively more difficult to implement compared with the crisp AHP, its application will be more appropriate for high-value components where stringent purchasing criteria are required. In contrast, AHP remains an appropriate approach for relatively lower value components (C class).Originality value - The novelty of this study lies in the application of a hybrid approach to a real industry case. This study has dealt with one of the most important subjects in supply chain management, providing a better decision for supplier selection using appropriate quantitative techniques. |
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| AbstractList | Purpose This paper aims to propose a new approach called analytical hierarchy process weighted fuzzy linear programming model AHPFLP for supplier selection. Designmethodologyapproach A hybrid method of supplier selection, AHPFLP is applied to a real industry case. The weights of the various criteria, taken as local weights from a given judgment matrix, are calculated using analytical hierarchy process AHP that are also considered as the weights of the fuzzy linear programming model. This new model is compared with the classical AHP method. Findings This study concluded that the AHPFLP method outperforms the AHP method for supplier selection with respect to restricted supplier selection criteria. Drawing on a real case, Supplier 1 was identified to be the best supplier through the AHP model under no restrictions, which contradicts the finding that Supplier 2 was selected as the best supplier by the AHPFLP model subject to constraints. Research limitationsimplications More research is definitely called for within the context of studying a more complex supply chain with multiple supply network and nodes. There is also a crucial need for investigating other hybrid methods to find the optimum supplier. Practical implications The findings of this study indicate that the weights of supplier selection criteria calculated by the AHPFLP model are in line with the actual supplier selection decision of purchasing managers. Since the AHPFLP model is relatively more difficult to implement compared with the crisp AHP, its application will be more appropriate for highvalue components where stringent purchasing criteria are required. In contrast, AHP remains an appropriate approach for relatively lower value components C class. Originalityvalue The novelty of this study lies in the application of a hybrid approach to a real industry case. This study has dealt with one of the most important subjects in supply chain management, providing a better decision for supplier selection using appropriate quantitative techniques. Purpose - This paper aims to propose a new approach called "analytical hierarchy process weighted fuzzy linear programming model (AHP-FLP)" for supplier selection. Design/methodology/approach - A hybrid method of supplier selection, AHP-FLP is applied to a real industry case. The weights of the various criteria, taken as local weights from a given judgment matrix, are calculated using analytical hierarchy process (AHP) that are also considered as the weights of the fuzzy linear programming model. This new model is compared with the classical AHP method. Findings - This study concluded that the AHP-FLP method outperforms the AHP method for supplier selection with respect to restricted supplier selection criteria. Drawing on a real case, Supplier 1 was identified to be the best supplier through the AHP model under no restrictions, which contradicts the finding that Supplier 2 was selected as the best supplier by the AHP-FLP model subject to constraints. Research limitations/implications - More research is definitely called for within the context of studying a more complex supply chain with multiple supply network and nodes. There is also a crucial need for investigating other hybrid methods to find the optimum supplier. Practical implications - The findings of this study indicate that the weights of supplier selection criteria calculated by the AHP-FLP model are in line with the actual supplier selection decision of purchasing managers. Since the AHP-FLP model is relatively more difficult to implement compared with the crisp AHP, its application will be more appropriate for high-value components where stringent purchasing criteria are required. In contrast, AHP remains an appropriate approach for relatively lower value components (C class). Originality/value - The novelty of this study lies in the application of a hybrid approach to a real industry case. This study has dealt with one of the most important subjects in supply chain management, providing a better decision for supplier selection using appropriate quantitative techniques. [PUBLICATION ABSTRACT] Purpose - This paper aims to propose a new approach called "analytical hierarchy process weighted fuzzy linear programming model (AHP-FLP)" for supplier selection.Design methodology approach - A hybrid method of supplier selection, AHP-FLP is applied to a real industry case. The weights of the various criteria, taken as local weights from a given judgment matrix, are calculated using analytical hierarchy process (AHP) that are also considered as the weights of the fuzzy linear programming model. This new model is compared with the classical AHP method.Findings - This study concluded that the AHP-FLP method outperforms the AHP method for supplier selection with respect to restricted supplier selection criteria. Drawing on a real case, Supplier 1 was identified to be the best supplier through the AHP model under no restrictions, which contradicts the finding that Supplier 2 was selected as the best supplier by the AHP-FLP model subject to constraints.Research limitations implications - More research is definitely called for within the context of studying a more complex supply chain with multiple supply network and nodes. There is also a crucial need for investigating other hybrid methods to find the optimum supplier.Practical implications - The findings of this study indicate that the weights of supplier selection criteria calculated by the AHP-FLP model are in line with the actual supplier selection decision of purchasing managers. Since the AHP-FLP model is relatively more difficult to implement compared with the crisp AHP, its application will be more appropriate for high-value components where stringent purchasing criteria are required. In contrast, AHP remains an appropriate approach for relatively lower value components (C class).Originality value - The novelty of this study lies in the application of a hybrid approach to a real industry case. This study has dealt with one of the most important subjects in supply chain management, providing a better decision for supplier selection using appropriate quantitative techniques. |
| Author | Demirbag, Mehmet Sevkli, Mehmet Tatoglu, Ekrem Zaim, Selim Lenny Koh, S.C |
| Author_xml | – sequence: 1 givenname: Mehmet surname: Sevkli fullname: Sevkli, Mehmet organization: Department of Industrial Engineering, Fatih University, Istanbul, Turkey – sequence: 2 givenname: S.C surname: Lenny Koh fullname: Lenny Koh, S.C organization: Logistics and Supply Chain Management Research Group, Management School, University of Sheffield, Sheffield, UK – sequence: 3 givenname: Selim surname: Zaim fullname: Zaim, Selim organization: Department of Management, Fatih University, Istanbul, Turkey – sequence: 4 givenname: Mehmet surname: Demirbag fullname: Demirbag, Mehmet organization: Management School, University of Sheffield, Sheffield, UK – sequence: 5 givenname: Ekrem surname: Tatoglu fullname: Tatoglu, Ekrem organization: Faculty of Business Administration, Bahcesehir University, Istanbul, Turkey |
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| Cites_doi | 10.1007/978-3-642-57949-3_3 10.1016/S0007-6813(96)90050-6 10.1108/01443570010287044 10.1108/02635570710719089 10.1287/mnsc.17.4.B141 10.1016/0165-0114(78)90031-3 10.1016/S0925-5273(03)00099-9 10.1108/09576050310503367 10.1108/02635570010286168 10.1016/S0925-5273(97)00009-1 10.1007/978-1-4899-1633-4 10.1108/02656719910248226 10.1016/j.cor.2004.09.020 10.1007/s00170-003-1791-y 10.1080/00207540600957399 10.1016/S0377-2217(99)00199-X 10.1016/j.omega.2005.08.004 10.1108/01443579410062068 10.1108/09600030010318829 10.21236/ADA214804 10.1016/S0377-2217(98)00353-1 10.1108/01443570610710560 10.1016/S0305-0483(00)00039-6 10.1016/S0305-0548(02)00127-2 10.1016/j.ijpe.2005.04.012 10.1080/00207540500381427 10.1016/0165-0114(87)90111-4 10.1016/S0377-2217(01)00367-8 10.1108/17410380610662898 |
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| Keywords | Fuzzy logic Analytical hierarchy process Supply chain management Supplier evaluation Decision making |
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| Snippet | Purpose - This paper aims to propose a new approach called "analytical hierarchy process weighted fuzzy linear programming model (AHP-FLP)" for supplier... Purpose This paper aims to propose a new approach called analytical hierarchy process weighted fuzzy linear programming model AHPFLP for supplier selection.... |
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| StartPage | 122 |
| SubjectTerms | Analytical hierarchy process Collaboration Cooperation Decision making Electronic data interchange Fuzzy logic Hierarchies Integer programming Linear programming Methods Product development Quality management Studies Supplier evaluation Suppliers Supply chain management System theory |
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| Title | Hybrid analytical hierarchy process model for supplier selection |
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