A Combined group EA-PROMETHEE method for a supplier selection problem
الموضوعات :Hamird Reza Rezaei-Kelidbari 1 , Mahdi Homayounfar 2 , Seyyed-e Fatemeh Alavi Foumani 3
1 - Department of Public Administration, Rasht Branch, Islamic Azad University, Rasht, Iran
2 - Department of Industrial Management, Rasht Branch, Islamic Azad University, Rasht, Iran
3 - Department of Business Management, Rasht Branch, Islamic Azad University, Rasht, Iran
الکلمات المفتاحية: Promethee, Fuzzy AHP, Supplier selection, Supply Chain Management (SCM),
ملخص المقالة :
One of the important decisions which impacts all firms’ activities is the supplier selection problem. Since the 1950s, several works have addressed this problem by treating different aspects and instances. In this paper, a combined multiple criteria decision making (MCDM) technique (EA-PROMETHEE) has been applied to implement a proper decision making. To this aim, after reviewing the theoretical background regarding to supplier selection, the extension analysis (EA) is used to determine the importance of criteria and PROMETHEE for appraisal of suppliers based on the criteria. An empirical example illustrated the proposed approach.
Abratt, R. (1986). Industrial buying in high-tech markets. Industrial Marketing Management, 15(4), 293–298.
Aissaoui, N., Haouari, M., & Hassini, E. (2007). Supplier selection and order lot sizing modeling: A review. Computers & Operations Research,34,3516 – 3540.
Albadvi, A., Chaharsooghi, S.K., & Esfahanipour, A. (2007). Decision making in stock trading: An application of PROMETHEE. European Journal of Operational Research, 177, 673–683.
Amid, A., Ghodsypour, S.H., & O’Brien, C. (2006). Fuzzy multi-objective linear model for supplier selection in a supply chain. International Journal of Production Economics, 104, 394-407.
Amid, A., Ghodsypour, S.H., & O’Brien, C. (2009). A weighted additive fuzzy multi objective model for the supplier selection problem under price breaks in a supply Chain. International Journal of Production Economics, 121, 323-332.
Araz, C., Ozfirat, P.M., & Ozkarahan, I. (2007). An integrated multicriteria decision-making methodology for outsourcing management. Computers & Operations Research, 34, 3738-3756.
Behzadian, M., Kazemzadeh, R.B., Albadvi, A., & Aghdasi, M. (2009). PROMETHEE: A comprehensive literature review on methodologies and applications. European Journal of Operational Research, 200, 198–215.
Beynon, M.J., & Wells, P. (2008). The lean improvement of the chemical emissions of motor vehicles based on preference ranking: A PROMETHEE uncertainty analysis. Omega, 36, 384–394.
Boran, F.E., Genç, S., Kurt, M., & Akay, D. (2009). A multi-criteria intuitionistic fuzzy group decision making for supplier selection with TOPSIS method. Expert Systems with Applications, 36, 11363-11368.
Bottani, E., & Rizzi, A. (2008). An adapted multi-criteria approach to suppliers and products selection—An application oriented to lead-time reduction. International Journal of Production Economics, 111, 763-781.
Bran, J.P., & Mareschal, B. (1992). PROMETHEE V–MCDM problems with segmentation constraints. INFOR, 30, 85–96.
Brans, J.P. (1982). Lingenierie de la decision. Elaboration dinstruments daide a la decision. Methode PROMETHEE. In: Nadeau. R Landry. M (Eds.), Laide a la Decision: Nature, Instruments et Perspectives Davenir. Presses de Universite Laval, Qu ebec, Canada, 183–214.
Brans, J.P., & Mareschal, B. (1994). The PROMETHEE GAIA decision support system for multicriteria investigations. Investigation Operative, 4, 107–117.
Brans, J.P., & Mareschal, B. (1995). The PROMETHEE VI procedure. How to differentiate hard from soft multicriteria problems. Journal of Decision Systems, 4, 213–223.
Brans, J.P., & Mareschal, B. (2005). In: Figueira J, Greco S, Ehrgott M (Eds.), Multiple Criteria Decision Analysis: State of the Art Surveys. Springer Science + Business Media, 163–196.
Brans, J.P., Macharis, C., Kunsch, P.L., Chevalier, A., & Schwaninger, M. (1998). Combining multicriteria decision aid and system dynamics for the control of socio-economic processes. An iterative real-time procedure. European Journal of Operational Research, 109, 428–441.
Brans, J.P., Vincke, P.h., & Mareschal, B. (1986). How to select and how to rank projects: The PROMETHEE method. European Journal of Operational Research, 24, 228–238.
Buckley, J.J. (1985). Fuzzy hierarchical analysis. Fuzzy Sets and Systems, 17, 233–247.
Çelebi, D., & Bayraktar, D. (2008). An integrated neural network and data envelopment analysis for supplier evaluation under incomplete information. Expert Systems with Applications, 35, 1698-1710.
Chan, F.T.S., & Kumar, N. (2007). Global supplier development considering risk factors using fuzzy extended AHP-based approach. Omega, 35, 417-431.
Chen, C.M. (2009). A fuzzy-based decision-support model for rebuy procurement. International Journal of Production Economics, 122, 714-724.
Chen, C.T., Lin, C.T., & Huang, S.F. (2006). A fuzzy approach for supplier evaluation and selection in supply chain management. International Journal of Production Economics, 102, 289-301.
Chen, T.C., Lin, C.T., & Huang, S.F. (2006). A fuzzy approach for supplier evaluation and selection in supply chain management. International Journal of Production Economics, 102, 289–301.
Chou, S.Y., & Chang, Y.H. (2008). A decision support system for supplier selection based on a strategy-aligned fuzzy SMART approach. Expert Systems with Applications, 34, 2241-2253.
Coelho, R.F., & Bouillard, P. (2005). A multicriteria evolutionary algorithm for mechanical design optimization with expert rules. International Journal for Numerical Methods in Engineering, 62, 516–536.
Coelho, R.F., Bersini, H., & Bouillard, P.h. (2003). Parametrical mechanical design with constraints and preferences: Application to a purge valve. Computer Methods in Applied Mechanics and Engineering, 192, 4355–4378.
De Boer, L., Van der Wegen, L., & Telgen, J. (1998). Outranking methods in support of supplier selection. European Journal of Purchasing and Supply Management, 4, 109-118.
Demirtas, E.A., & Üstün, O. (2008). An integrated multi-objective decision making process for supplier selection and order allocation. Omega, 36, 76-90.
Demirtas, E.A., & Ustun, O. (2009). Analytic network process and multi-period goal programming integration in purchasing decisions. Computers & Industrial Engineering, 56, 677-690.
Dickson, G.W. (1966). An analysis of vendor selection systems and decisions. Journal of Purchasing, 2, 5-17.
Doukas, H., Patlitzianas, K.D., & Psarras, J. (2006). Supporting sustainable electricity technologies in Greece using MCDM. Ressources Policy, 31, 129–136.
Efendigil, T., Önüt, S., & Kongar, E. (2008). A holistic approach for selecting a third-party reverse logistics provider in the presence of vagueness. Computers & Industrial Engineering, 54, 269-286.
Faez, F., Ghodsypour, S.H., & O’Brien, C. (2009). Vendor selection and order allocation using an integrated fuzzy case-based reasoning and mathematical programming model. International Journal of Production Economics, 121, 395: 408.
Figueira, J., De-Smet, Y., & Brans, J.P. (2004). MCDA methods for sorting andclustering problems: Promethee TRI and Promethee CLUSTER, Université Libre de Bruxelles. Service deMathématiques de la Gestion, Working Paper 2004/02. <http://www.ulb.ac.be/polytech/smg/indexpublications.htm>.
Figueira, J., Greco, S., & Ehrgott, M. (2005). Multi Criteria Decision Analysis: State of the Art Surveys. Springer. 2nd edition, 163:189.
Ghodsypour, S.H., & O’Brien, C. (1998). A decision support system for supplier selection using an integrated analytic hierarchy process and linear programming. International Journal of Production Economics, 56–57, 199–212.
Ghodsypour, S.H., & O’Brien, C. (2001). The total cost of logistics in supplier selection, under conditions of multiple sourcing, multiple criteria and capacity constraint. International Journal of Production Economics, 73, 15–27.
Gumus, A.T. (2009). Evaluation of hazardous waste transportation firms by using a two step fuzzy-AHP and TOPSIS methodology. Expert Systems with Applications, 36(2) ,4067-4074.
Guneri, A.F., Yucel, A., & Ayyildiz, G. (2009). An integrated fuzzy-lp approach for a supplier selection problem in supply chain management. Expert Systems with Applications, 36, 9223-9228.
Ha, S.H., & Krishnan, R. (2008). A hybrid approach to supplier selection for the maintenance of a competitive supply chain. Expert Systems with Applications, 34 (2), 1303–1311.
Hassanzadeh-Amin, S., & Razmi, J. (2009). An integrated fuzzy model for supplier management: A case study of ISP selection and evaluation. Expert Systems with Applications, 36, 8639-8648.
Jang, S.R., Sun, C.T., & Mizutani, E. (1997). Neuro-fuzzy and soft computing – A computational approach to learning and machine intelligence. Englewood Cliffs, NJ: Prentice-Hall.
Kinra, A., & Kotzab, H. (2008). A macro-institutional perspective on supply chain environmental complexity. International Journal of Production Economics, 115, 283-295.
Kumar, M., Vrat, P., & Shankar, R. (2006). A fuzzy programming approach for vendor selection problem in a supply chain. International Journal of Production Economics, 101, 273–285.
Le Téno, J.F., & Mareschal, B. (1998). An interval version of PROMETHEE for the comparison of building products’ design with ill-defined data on environmental quality. European Journal of Operational Research, 9, 522–529.
Lehmann, D.R., & O’Shaughnessy, J. (1974). Difference in attribute importance for different industrial products. Journal of Marketing, 38, 36–42.
Liao, Z., & Rittscher, J. (2007). A multi-objective supplier selection model under stochastic demand conditions. International Journal of Production Economics, 105, 150-159.
Lin, H.T., & Chang, W.L. (2008). Order selection and pricing methods using flexible quantity and fuzzy approach for buyer evaluation. European Journal of Operational Research, 187 (2), 415–428.
Liou, J.J.H., & Chuang, Y.T. (2009). Developing a hybrid multi-criteria model for selection of outsourcing providers. Expert Systems with Applications, 37, 3755-3761.
Liu, F.H.F., & Hai, H.L. (2005). The voting analytic hierarchy process method for selecting supplier. International Journal of Production Economics, 97, 308-317.
Macharis, C., Brans, J.P., & Mareschal, B. (1998). The GDSS PROMETHEE procedure – a PROMETHEE–GAIA based procedure for group decision support. Journal of Decision Systems, 7, 283–307.
Macharis, C., Springael, J.De., Brucker, K., & Verbeke, A. (2004). PROMETHEE and AHP: The design of operational synergies in multi criteria analysis. Strengthening PROMETHEE with ideas of AHP. European Journal of Operational Research, 153, 307–317.
Mareschal, B., & Brans, J.P. (1988). Geometrical representations for MCDA. The GAIA module. European Journal of Operational Research, 34 (1), 69–77.
Min, H., Galle, & W.P. (1999). Electronic commerce usage in business to business purchasing. International Journal of Operations and Production Management, 19, 909–921.
Montazer, G.H., Saremi, H.Q., & Ramezani, M. (2009). Design a new mixed expert decision aiding system using fuzzy ELECTRE III method for vendor selection. Expert Systems with Applications, 36, 10837-10847.
Mummalaneni, V., Dubas, K.M., & Chao, C. (1996). Chinese purchasing managers’ preferences and trade-offs in supplier selection and performance evaluation. Industrial Marketing Management, 25, 115-124.
Önüt, S., Kara, S.S., & Işik, E. (2009). Long term supplier selection using a combined fuzzy MCDM approach: A case study for a telecommunication company. Expert Systems with Applications, 36, 3887-3895.
Roux, O., Duvivier, D., Dhaevers, V., Meskens, N., & Artiba, A. (2008). Multicriteria approach to rank scheduling strategies. International Journal of Production Economics, 112, 192–201.
Shyur, H.J., & Shih, H.S. (2006). A hybrid MCDM model for strategic vendor selection. Mathematical and Computer Modelling, 44, 749-761.
Stavropolous, N. (2000). Suppliers in the new economy. Telecommunications Journal of Australia, 50, 27–29.
Swift, C.O. (1995). Preferences for single sourcing and supplier selection criteria, Journal of Business Research, 32, 105-111.
Tam, M.C.Y., & Tummala, V.M.R. (2001). An application of the AHP in vendor selection of a telecommunications system, Omega, 29, 171-182.
Toloie-Eshlaghy, A., & Homayonfar, M. (2011). MCDM Methodologies and Applications: A Literature Review from 1999 to 2009. Research Journal of International Studies, 21, 86-137.
Tseng, M.L., Chiang, J.H., & Lan, L.W. (2009). Selection of optimal supplier in supply chain management strategy with analytic network process and choquet integral. Computers & Industrial Engineering, 57, 330-340.
Ustun, O., & Demırtas, E.A. (2008). An integrated multi-objective decision-making process for multi-period lot-sizing with supplier selection. Omega, 36, 509-521.
Vaez-Ghasemi, M. (2015). "Supplier selection among alternative scenarios by Data envelopment analysis." Iranian Journal of Optimization 3(1): 614-626.
Vincke, J.P., & Brans, P.h. (1985). A preference ranking organization method. The PROMETHEE method for MCDM. Management Science, 31, 641–656.
Wang, G., Huang, S.H., & Dismukes, J.P. (2004). Product-driven supply chain selection using integrated multi-criteria decision making methodology. International Journal of Production Economics, 91, 1-15.
Wang, J.J., & Yang, D.L. (2007). Using a hybrid multi-criteria decision aid method for information systems outsourcing. Computers & Operations Research, 34, 3691– 3700.
Weber, C.A., Current, J.R., Benton, W.C. (1991). Vendor selection criteria and methods. European Journal of Operational Research, 50, 2–18.
Wiecek, M.M., Ehrgott, M., Fadel, G., & Figueira, J.R. (2008). Editorial: Multiple criteria decision making for engineering. Omega, 36, 337–339.
Wu, D. (2009) Supplier selection in a fuzzy group setting: A method using grey related analysis and Dumpster–Shafer theory. Expert Systems with Applications, 36, 8892-8899.
Wu, W.Y., Sukoco, B.M., Li, C.Y., & Chen, S.H. (2009). An integrated multi-objective decision-making process for supplier selection with bundling problem. Expert Systems with Applications, 36, 2327-2337.
Xia, W., & Wu, Z. (2007). Supplier selection with multiple criteria in volume discount environments. Omega, 35, 494-504.
Yang, J.L., Chiu, H.N., Tzeng, G.H., Yeh, R.H. (2008). Vendor selection by integrated fuzzy MCDM techniques with independent and interdependent relationships. Information Sciences, 21, 4166-4183.
Yücenur, G.N., Vayvay, O., & Demirel, N.C. (2011). Supplier selection problem in global supply chains by AHP and ANP approaches under fuzzy environment. International Journal of Advanced Manufacturing Technology, 56, 823–833.
Zhang, G., Ni, Y., Churchill, J., & Kokot, (S). 2006, Authentication of vegetable oils on the basis of their physico-chemical properties with the aid of chemo metrics. Talanta, 70, 293–300.
