A fuzzy hybrid group decision support system approach for the supplier evaluation process
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The quality and delivery performance of a typical company depends largely on the capability of its suppliers. It is therefore important for a company to evaluate the performance of its existing suppliers. However, the problem of supplier evaluation is rather complex when a group of decision makers responsible for these suppliers are geographically dispersed. Evaluating decisions requiring the elicitation of vague and imprecise linguistic information expressed in fuzzy terms. For this purpose, a hybrid fuzzy group decision-making approach for supplier evaluation is proposed, integrating the fuzzy analytic hierarchy process (F-AHP) and the fuzzy preference-ranking-organization-method-for-enrichment-of-evaluation (PROMETHEE) group decision support system (F-PROMETHEE GDSS) method. F-AHP is used to determine the weight of multiple criteria while F-PROMETHEE GDSS is applied for the final ranking of suppliers from a group decision viewpoint. The approach advances the supplier evaluation context in two aspects. First, it treats each decision maker uniquely in terms of the preference function and threshold levels. Second, it provides rapid communication between teams through video conferencing. The hybrid approach is used to evaluate the suppliers of a dairy company.
KeywordsSupplier evaluation Fuzzy AHP Fuzzy PROMETHEE GDSS
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- 5.Barbarosoglu G, Yazgact T (1997) An application of the analytic hierarchy process to the supplier selection problem. Prod Invent Manag J 38:14–21Google Scholar
- 10.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, Inc., pp. 163–196Google Scholar
- 24.Dickson G (1966) An analysis of vendor selection systems and decisions. J Purch 2(1):5–17Google Scholar
- 28.Ghodsypour SH, O’Brien C (1998) A decision support system for supplier selection using an integrated analytic hierarchy process and linear programming. Int. J. Prod. Econ 199–212Google Scholar
- 33.Ignatius J, Motlagh SMH, Sepehri MM, Behzadian M, Mustafa A (2010) Hybrid models in decision making under uncertainty: the case of training provider evaluation. J Intell Fuzzy Syst 21:147-162Google Scholar
- 34.Ignatius J, Mustafa A, Jantan M, Lim CP, Ramayah T (2011) A multiobjective sensitivity approach to training providers' evaluation and quota allocation planning. Int J Inf Technol Decis Mak 10(1): 147-174Google Scholar
- 37.Kraljic P (1983) Purchasing must become supply management. Harv Bus Rev 61(5):109–117Google Scholar
- 39.Lee EK, Ha S, Kim SK (2001) Supplier selection and management System. Considering relationships in supply chain management. IEEE Trans Eng Manag 47(3):307–318Google Scholar
- 44.Narasimhan R (1983) An analytical approach to supplier selection. Int J Purch Mater Manag 19(l):27–32Google Scholar
- 45.Nydich RL, Hill RP (1992) Using the analytic hierarchy process to structure the supplier selection procedure. Int J Purch and Mater Manag 28(2):31–36Google Scholar