2298 8 archive 2 disk0/00/00/22/98 2008-07-03 16:18:20 2008-07-03 16:18:20 2008-07-03 16:18:20 article show Ketata, Raouf raouf.ketata@insat.rnu.tn Mahmoud, Hajer Ben hamden_bm@yahoo.fr Romdhan, Taieb Ben tbr.tim@planet.tn National Institute of Applied Science and Technology INSAT, Tunisia National Institute of Applied Science and Technology INSAT, Tunisia National Institute of Applied Science and Technology INSAT, Tunisia pub Q none Fuzzy logic, fuzzy multi-criteria method, decision making aid, selection and evaluation In order to select the best suppliers it is necessary to make a trade off between these tangible and intangible factors some of which may conflict. This article proposes a new approach based on the integration of the fuzzy logic with the classical multi-criteria methods on the one hand and taking into account the concept of supplier reliability for resolving a supplier selection and evaluation problem on the other hand. Indeed, we deal with the first approach called "Method with Constraints" (MC) which consists of combination of the "Fuzzy Analytical Hierarchy Process" (FAHP) with the "Goal Programming" (GP) methods. This method reflects the idea of supplier reliability and at the same time the quantitative and qualitative factors. Considering the fuzzy constraints, we propose the second approach called "Method with Fuzzy Constraint" (MCF) which consists of combination of the FAHP with the "Fuzzy Goal Programming" (FGP) methods. We used the gravity centre method to approach the best solution, the supplier reliability approach to identify the most reliable supplier and the fuzzy logic method to find solutions for the inaccuracy and uncertainty problems. A numerical example is presented to illustrate this new approach which includes comparing the advantages and disadvantages of the selection methods for resolving a supplier selection and evaluation problem. 2008 published Malaysian Journal of Computer Science 21 1 Faculty of Computer Science and Information Technology TRUE 0127-9084 http://ejum.fsktm.um.edu.my/ArticleInformation.aspx?ArticleID=630 [1] A. W Labibe, M. R. Abdi.: “Grouping and selecting products: the design key of reconfigurable manufacturing systems (RMSs)”, International Journal of Production Research, Vol. 42, 2004, pp. 521-546. [2] C. Liang-Hsuan, T. Feng-Chou: “Fuzzy goal programming with different importance and priorities”, European Journal of Operational Research, Vol. 133, 2001, pp. 548-556. [3] G. Wanga, S. Huang, J. Dismukesa: “Product-driven supply chain selection using integrated multi-criteria decision-making methodology”, International journal of production economics, 2003, pp. 1-15. [4] J. Liu, F.Y. Ding, V. Lall: “Using Data Envelopment Analysis to compare supplier selection and performance improvement”, Int. Journal Supply Chain Management, Vol. 5, No. 3, 2000, pp. 143-150. [5] J. Pomerol, S. Barba-Romero: Choice multi-criteria in company, Paris, Hermes, 1993. [6] J. Yang: “Minimax reference point approach and its application for multi-objective optimisation”, European Journal of Operational Research, Vol. 126, 2000, pp. 541-556. [7] K.J. Zhu, Y. Jing, D.Y. Chang: “A discussion on extent analysis method and application of fuzzy AHP”, European Journal of Operational Research, Vol. 116, 1999, pp. 450-456. [8] L. Benyoucef, H. Ding, X. Xie: “Supplier selection problem: selection criteria and methods (Theme 4)”, Simulation and optimization of complex systems, Project MACSI, No. 4726, Feb 2003, pp. 38. [9] L.A. Zadeh: “Fuzzy Sets”, Information and Control, Vol. 8, 1965, pp. 338-353. [10] M. Gunes, N. Umarosman: “Fuzzy goal programming approach on computation of the fuzzy arithmetic mean”, Mathematical and Computational applications, Vol. 10, No.2, 2005, pp. 211-220. [11] M. G. Iskander: “A fuzzy weighted additive approach for stochastic fuzzy goal programming”, Applied Mathematics and Computation, Vol. 154, 2004, pp. 543-553. [12] P.T. Harker: “The art and science of decision making: The analytic hierarchy process”, in: Golden, B.L., Wasil, E.A., Harker, P.T. (Eds.), the Analytic Hierarchy Process: Applications and Studies Springer, Berlin 1989, pp. 3-36. [13] S. Ben Mena.: “Introduction of methods multi-criteria aid for decision”, Biotechnology Agron. Soc. Environ, 2000, pp.83-93. [14] S. Ben Mena: “Computer solution of sensibility analysis for Electre III”, Biotechnology Agron. Soc. Environ,2001, pp.31-35. [15] S. Zaim, M. Sevkli, M. Tarim: Fuzzy analytic hierarchy based approach for supplier selection, 2003. [16] T. Saaty: Decide face a complexity: approach analytic multi-criteria aid for the decision, Modern Edition Company, Paris, 1980, pp. 77-120. [17] Z.C. Lin, C.B. Yang: “Evaluation of machine selection by the AHP method”, Journal of Materials Processing Technology, Vol. 57, No. 3–4, 1996, pp. 253-258.