Abstract
The fundamental objective of supply chain management (SCM) is to integrate various suppliers to satisfy market demand. Supplier evaluation and selection is very important for establishing an effective supply chain. As a matter of fact, supplier selection consists of both qualitative and quantitative criteria, so it is considered as a multi criteria decision making (MCDM) problem. Under incomplete or uncertain information, the fuzzy set theory allows us make decisions with approximate reasoning. In order to overcome the uncertainty which is constituted by vague situations in supplier selection, we utilize the “extension of the PROMETHEE method in a fuzzy environment” (F-PROMETHEE). In this chapter, multi criteria supplier selection based on a fuzzy PROMETHEE method with an application to supplier selection decision problem is conducted. The main advantages of the methodology are the user friendliness coming from the linguistic evaluations, and the consideration of the vagueness or fuzziness inherent to the decision making environment. Hence, the method can be an efficient and effective methodology to be used by decision makers on supply chains. The proposed methodology can also be applied to any other selection problem.
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References
Agarwal, P., Sahai, M., Mishra, V., Bag, M., Singh, V.: A review of multi-criteria decision making techniques for supplier evaluation and selection. Int. J. Ind. Eng. Comput. 2, 801–810 (2011)
Albadvi, A., Chaharsooghi, S.K., Esfahanipour, A.: Decision making in stock trading: an application of PROMETHEE. Eur. J. Oper. Res. 177(2), 673–683 (2007)
Ayag, Z., Ozdemir, R.G.: A fuzzy AHP approach to evaluating machine tools alternatives. J. Intell. Manuf. 17, 179–190 (2006a)
Ayag, Z., Ozdemir, R.G.: A fuzzy AHP approach to evaluating machine tools alternatives. J. Intell. Manuf. 17, 179–190 (2006b)
Bilsel, R.U., Buyukozkan, G., Ruan, D.: A fuzzy preference ranking model for a quality evaluation of hospital web sites. In. J. Intell. Syst. 21(11), 1181–1197 (2006)
Brans, J.P., Mareschal, B., Vincke P. PROMETHEE: A new family of outranking methods in MCDM. In: Brans J.P. (ed.) Operational Research IFORS 84. North-Holland, Amsterdam, pp. 477–490 (1984)
Brans, J.P., Vincle, P.: A preference ranking organization method. Manage. Sci. 31(6), 647–656 (1985)
Brans, J.P., Vincke, P., Mareschal, B.: How to select and how to rank projects: the PROMETHEE method. Eur. J. Oper. Res. 24, 228–238 (1986)
Bruno, G., Esposito, E., Genovese, A., Passaro, R.: AHP-based approaches for supplier evaluation: problems and perspectives. J. Purchasing Supply Manag. (2012). http://dx.doi.org/10.1016/j.pursup.2012.05.001
Büyükozkan, G., Ertay, T., Kahraman, C., Ruan, D.: Determining the importance weights for the design requirements in the house of quality using the fuzzy analytic network approach. Int. J. Intell. Syst. 19, 443–461 (2004)
Chen, C.-T., Lin, C.-T., Huang, S.-F.: A fuzzy approach for supplier evaluation and selection in supply chain management. Int. J. Prod. Econ. 102, 289–301 (2006)
Chen, Y.-J.: Structured methodology for supplier selection and evaluation in a supply chain. Inf. Sci. 181, 1651–1670 (2011)
Chen, Y.-H., Wang, T.-C., Wu, C.-Y.: Strategic decisions using fuzzy PROMETHEE for is outsourcing. Expert Syst. Appl. 38, 12216–13222 (2011)
Chou, W.-C., Lin, W.-T., Lin, C.-Y.: Application of fuzzy theory and PROMETHEE technique to evaluate suitable ecotechnology method: a case study in Shismen reservoir watershed, Taiwan. Ecol. Eng. 31, 269–280 (2007)
Dagdeviren, M.: Decision making in equipment selection: an integrated approach with AHP and PROMETHEE. J. Intell. Manuf. 19(4), 397–406 (2008)
De Boer, L., Labro, E., Morlacchi, P.: A review of methods supporting supplier selection. Eur. J. Purchasing Supply Manage. 7, 75–89 (2001)
Esposito, E., Passaro, R.: The evolution of supply chain relationships: an interpretative framework based on the Italian inter-industry experience. J. Purchasing Supply Manage. 15(2), 114–126 (2009a)
Esposito, E., Passaro, R.: Evolution of the supply chain in the Italian railway industry. Supply Chain Manage. Int. J. 14(4), 303–313 (2009b)
Geldermann, J., Spengler, T., Rentz, O.: Fuzzy outranking for environmental assessment. Case study: iron and steel making industry. Fuzzy Sets Syst. 115(1), 45–65 (2000)
Goumas, M., Lygerou, V.: An extension of the PROMETHEE method for decision making in fuzzy environment: ranking of alternative energy exploitation projects. Eur. J. Oper. Res. 123, 606–613 (2000)
Gupta, R., Sachdeva, A., Bhardwaj, A.: Selection of logistic service provider using fuzzy PROMETHEE for a cement industry. J. Manuf. Technol. Manage. 23(7), 899–921 (2012)
Ha, H.S., Krishnan, R.: A hybrid approach to supplier selection for the maintenance of a competitive supply chain. Expert Syst. Appl. 34(2), 1303–1311 (2008)
Ho, W., Xu, X., Dey, P.K.: Multi-criteria decision making approaches for supplier evaluation and selection: a literature review. Eur. J. Oper. Res. 202, 16–24 (2010)
Macharis, C., Springael, J., de Brucker, K., Verbeke, A.: PROMETHEE and AHP: the design of operational synergies in multicriteria analysis. Stengthening PROMETHEE with ideas of AHP. Eur. J. Oper. Res. 153(2), 307–317 (2004)
Meredith, J.R., Shafer S.M.: Operations Management for MBAs, 3rd edn. John Wiley, New Jersey (2007)
Nazeri, A., Meftahi, H., Shaharoun, A.M.: Supplier evaluation and selection in SCM using Fuzzy AHP. In: 2011 3rd International Conference on Advanced Management Science IPEDR, vol. 19. IACSIT Press, Singapore (2011)
Ozgen, A., Tuzkaya, G., Tuzkaya, U.R., Ozgen, D.: A Multi-Criteria Decision Making Approach for Machine Tool Selection Problem in a Fuzzy Environment. Int. J. Comput. Intell. Syst. 4(4), 431–445 (2011)
Saaty, T.L.: The Analytic Hierarchy Process. McGraw Hill, New York (1980)
Saaty, T.L.: Fundamentals of Decision Making and Priority Theory with the Analytic Hierarchy Process, pp. 204–220. RWS Publications, Pittsburg (1994)
Shirinfar, M., Haleh, H.: Supplier selection and evaluation by Fuzzy multi-criteria decision making methodology. Int. J. Industr. Eng. Prod. Res. 22(4), 271–280 (2011)
Supply Chain Operations Reference (SCOR) Model, Overview-Version 10.0 (2013)
Tavakoli, M., Tabriz, A.A., Ferahani, R., Rezapour, E.: Applicatin of fuzzy goal programming and F-PROMETHEE approaches in evaluating and selecting the best suppliers in supply chain. J. Basic Appl. Sci. Res. 3(2), 1115–1127 (2013)
Tuzkaya, G., Gülsün, B., Kahraman, C., Özgen, D.: An integrated fuzzy multi-criteria decision making methodology for material handling equipment selection problem and an application. Expert Syst. Appl. 37(4), 2853–2863 (2010)
Ulengin, F., Topçu, Y., Sahin, S.O.: An Integrated decision aid system for Bosporous water-crossing problem. Eur. J. Oper. Res. 134, 179–192 (2001)
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Senvar, O., Tuzkaya, G., Kahraman, C. (2014). Multi Criteria Supplier Selection Using Fuzzy PROMETHEE Method. In: Kahraman, C., Öztayşi, B. (eds) Supply Chain Management Under Fuzziness. Studies in Fuzziness and Soft Computing, vol 313. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-53939-8_2
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DOI: https://doi.org/10.1007/978-3-642-53939-8_2
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