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
Hlavní autori: Sevkli, Mehmet, Lenny Koh, S.C, Zaim, Selim, Demirbag, Mehmet, Tatoglu, Ekrem
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: 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.
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
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  surname: Sevkli
  fullname: Sevkli, Mehmet
  organization: Department of Industrial Engineering, Fatih University, Istanbul, Turkey
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  surname: Lenny Koh
  fullname: Lenny Koh, S.C
  organization: Logistics and Supply Chain Management Research Group, Management School, University of Sheffield, Sheffield, UK
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  givenname: Selim
  surname: Zaim
  fullname: Zaim, Selim
  organization: Department of Management, Fatih University, Istanbul, Turkey
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  surname: Demirbag
  fullname: Demirbag, Mehmet
  organization: Management School, University of Sheffield, Sheffield, UK
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  givenname: Ekrem
  surname: Tatoglu
  fullname: Tatoglu, Ekrem
  organization: Faculty of Business Administration, Bahcesehir University, Istanbul, Turkey
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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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