An integrated model for supplier selection using fuzzy analytical hierarchy process: a steel plant case study

Supplier selection is one of the most important functions to be performed by the purchasing department. The supplier selection is a multi-criteria decision making (MCDM) problem involving both qualitative and quantitative criteria. In order to select the best suppliers, it is necessary to make a trade off between tangible and intangible criteria that conflict with each other. Today's globally competitive business environment warrants suppliers to supply raw materials punctually in the right quantity and quality. Manufacturers are increasingly concerned about supplier selection since reliable suppliers enable them to reduce inventory costs and improve product quality. This paper proposes an integrated model based on fuzzy analytical hierarchy process (AHP) for supplier selection. A decision support system (DSS) has been developed using Visual Basic and MS Access. The case study was conducted in a leading steel plant to demonstrate the application of the proposed model.

[1]  D. Chang Applications of the extent analysis method on fuzzy AHP , 1996 .

[2]  Seyed Hassan Ghodsypour,et al.  A decision support system for supplier selection using an integrated analytic hierarchy process and linear programming , 1998 .

[3]  W. B. Lee,et al.  An intelligent supplier management tool for benchmarking suppliers in outsource manufacturing , 2002, Expert Syst. Appl..

[4]  Cengiz Kahraman,et al.  Operating system selection using fuzzy replacement analysis and analytic hierarchy process , 2005 .

[5]  Hepu Deng,et al.  Multicriteria analysis with fuzzy pairwise comparison , 1999, FUZZ-IEEE'99. 1999 IEEE International Fuzzy Systems. Conference Proceedings (Cat. No.99CH36315).

[6]  Mustafa S. Canbolat,et al.  Fuzzy AHP-based supplier selection in e-procurement , 2007 .

[7]  M. Braglia,et al.  A quality assurance‐oriented methodology for handling trade‐offs in supplier selection , 2000 .

[8]  A. Petroni,et al.  From Traditional Purchasing to Supplier Management: A Fuzzy Logic-based Approach to Supplier Selection , 2002 .

[9]  Ludmil Mikhailov,et al.  Deriving priorities from fuzzy pairwise comparison judgements , 2003, Fuzzy Sets Syst..

[10]  C. Kahraman,et al.  Multi‐criteria supplier selection using fuzzy AHP , 2003 .

[11]  Lotfi A. Zadeh,et al.  Fuzzy Sets , 1996, Inf. Control..

[12]  R. J. Vokurka,et al.  A systematic approach to supplier improvement , 2006 .

[13]  R. J. Kuo,et al.  A decision support system for selecting convenience store location through integration of fuzzy AHP and artificial neural network , 2002, Comput. Ind..

[14]  F. Chan,et al.  Global supplier development considering risk factors using fuzzy extended AHP-based approach , 2007 .

[15]  Fritz Klocke,et al.  Evaluating alternative production cycles using the extended fuzzy AHP method , 1997, Eur. J. Oper. Res..

[16]  Richard Bellman,et al.  Decision-making in fuzzy environment , 2012 .

[17]  C. Kahraman,et al.  Fuzzy multi-attribute selection among transportation companies using axiomatic design and analytic h , 2005 .

[18]  K. Goffin,et al.  Managing suppliers: when fewer can mean more , 1997 .

[19]  Bing Jiang,et al.  The development of intelligent decision support tools to aid the design of flexible manufacturing systems , 2000 .

[20]  G. Zsidisin A grounded definition of supply risk , 2003 .

[21]  Ching-Hsue Cheng,et al.  Evaluating attack helicopters by AHP based on linguistic variable weight , 1999, Eur. J. Oper. Res..

[22]  Cengiz Kahraman,et al.  Multi-attribute comparison of catering service companies using fuzzy AHP: The case of Turkey , 2004 .

[23]  Yu Jing,et al.  A discussion on Extent Analysis Method and applications of fuzzy AHP , 1999, Eur. J. Oper. Res..

[24]  F. Liu,et al.  The voting analytic hierarchy process method for selecting supplier , 2005 .

[25]  Henry C. W. Lau,et al.  A fuzzy analytic hierarchy process approach in modular product design , 2001, Expert Syst. J. Knowl. Eng..

[26]  L. C. Leung,et al.  On consistency and ranking of alternatives in fuzzy AHP , 2000, Eur. J. Oper. Res..

[27]  Zeki Ayağ,et al.  A fuzzy AHP-based simulation approach to concept evaluation in a NPD environment , 2005 .

[28]  T. Saaty,et al.  The Analytic Hierarchy Process , 1985 .

[29]  C. Yeh,et al.  An algorithm for fuzzy multi-criteria decision making , 1997, 1997 IEEE International Conference on Intelligent Processing Systems (Cat. No.97TH8335).

[30]  Ludmil Mikhailov,et al.  A fuzzy approach to deriving priorities from interval pairwise comparison judgements , 2004, Eur. J. Oper. Res..

[31]  Malcolm James Beynon,et al.  Application and Development of a Fuzzy Analytic Hierarchy Process within a Capital Investment Study , 2005 .