A multi-level decision making model for supplier selection problem in a fuzzy situation

• Autorzy: Adhami A. Y. , Muneeb S. M. , Nomani M. A.

Identyfikatory

DOI

10.5277/ord170401

• Języki publikacji: EN

Abstrakty

EN

Supplier selection plays a vital role in evolving an effective supply chain and the overall performance of organisations. Choosing suppliers may involve different levels arranged in a hierarchical structure. Decisions are made successively starting from the first level to the last level. Decision variables are partitioned between different levels and are called controlling factors. In the paper, we propose a multilevel supplier selection problem with uncertain or fuzzy demand and supply. Since objectives may be conflicting in nature, possible relaxations in the form of tolerances are provided by the upper level decision makers to avoid decision deadlocks. We use (linear) membership functions to fuzzily describe objective functions, as well as the controlling factors, and generate satisfactory solutions. We extend and present an approach to solving multilevel decision making problems when fuzzy constraints are employed. Different scenarios are constructed within a numerical illustration, based on the selection of controlling factors by the upper level decision makers.

Słowa kluczowe

EN

supplier selection; supply chain; multilevel decision making; multiobjective; fuzzy optimisation

• Wydawca: Oficyna Wydawnicza Politechniki Wrocławskiej
• Czasopismo: Operations Research and Decisions
• Rocznik: 2017
• Tom: Vol. 27, No. 4
• Strony: 5--26
• Opis fizyczny: Bibliogr. 23 poz., rys.

Twórcy

autor

Adhami A. Y.

• Department of Statistics and Operations Research, Aligarh Muslim University, Aligarh, U.P. 202002, India

autor

Muneeb S. M.

• Department of Statistics and Operations Research, Aligarh Muslim University, Aligarh, U.P. 202002, India

autor

Nomani M. A.

• Research and Training Group on Algorithmic Optimization, Department of Mathematics, University of Trier, 54286 Trier, Germany

Bibliografia

• [1] ARIKAN F., An interactive solution approach for multiple objective supplier selection problem with fuzzy parameters, J. Intel. Manuf., 2015, 26 (5), 989–998.
• [2] AYDIN S., KAHRAMAN C., A new fuzzy analytic hierarchy process and its application to supplier selection problem. J. Mult.-Val. Logic Soft Comp., 2013, 20.
• [3] AYHAN M.B., KILIC H.S., A two stage approach for supplier selection problem in multiitem/multisupplier environment with quantity discounts, Comp. Ind. Eng., 2015, 85, 1–12.
• [4] BAKESHLOU E.A., KHAMSEH A.A., ASL M.A.G., SADEGHI J., ABBASZADEH M., Evaluating a green supplier selection problem using a hybrid MODM algorithm, J. Intel. Manuf., 2017, 28 (4), 913–927.
• [5] BAKY I.A., Fuzzy goal programming algorithm for solving decentralized bi-level multiobjective programming problems, Fuzzy Sets Syst., 2009, 160, 2701–2713.
• [6] BÜYÜKÖZKAN G., GÖÇER F., Application of a new combined intuitionistic fuzzy MCDM approach based on axiomatic design methodology for the supplier selection problem, Appl. Soft Comp., 2017, 52, 1222–1238.
• [7] 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., 2006, 102, 289–301.
• [8] EL-HEFNAWY N.A., Solving bi-level problems using modified particle swarm optimization algorithm, Int. J. Art. Intel., 2014, 12 (2), 88–101.
• [9] KAR A.K., Revisiting the supplier selection problem: An integrated approach for group decision support, Exp. Syst. Appl., 2014, 41 (6), 2762–2771.
• [10] KE H., SU T., NI Y., Uncertain random multilevel programming with application to production control problem, Soft Computing, 2015, 19 (6), 1739–1746.
• [11] KUMAR M., VRAT P., SHANKAR R., A fuzzy goal programming approach for supplier selection problem in a supply chain, Comp. Ind. Eng., 2004, 46, 69–85.
• [12] KUMAR M., VRAT P., SHANKAR R., A fuzzy programming approach for supplier selection problem in a supply chain, Int. J. Prod. Econ., 2006, 101 (2), 273–285.
• [13] LI L., ZABINSKY Z.B., Incorporating uncertainty into a supplier selection problem, Int. J. Prod. Econ., 2011, 134 (2), 344–356.
• [14] OSMAN M.S., ABO-SINNA M.A., AMER A.H., A multilevel non-linear multiobjective decision-making under fuzziness, Appl. Math. Comp., 2004, 153, 239–252.
• [15] PARTHIBAN P., ZUBAR H.A., GARGE C.P., A multi criteria decision making approach for suppliers selection, Proc. Eng., 2012, 38, 2312–2328.
• [16] PARTHIBAN P., ZUBAR H.A., KATAKAR P., Supplier selection problem. A multicriteria approach based on strategic decisions, Int. J. Prod. Res., 2013, 51 (5), 1535–1548.
• [17] PRAMANIK S., BANERJEE D., GIRI B.C., Multilevel multiobjective linear plus linear fractional programming problem based on FGP approach, Int. Int. J. Inn. Sci., Eng. Techn., 2015, 2, 153–160.
• [18] SAKAWA M., NISHIZAKI I., Interactive fuzzy programming for decentralized two-level linear programming problems, Fuzzy Sets Syst., 2002, 125, 301–315.
• [19] SHIH H.S., LAI Y.J., LEE E.S., Fuzzy approach for multilevel programming problems, Comp. Oper. Res., 1996, 23 (1), 73–91.
• [20] SHIH H.S., LEE E.S., Compensatory fuzzy multiple level decision making, Fuzzy Sets Syst., 2000, 114, 71–87.
• [21] SINHA S., SINHA S.B., KKT transformation approach for multiobjective multilevel linear programming problems, Eur. J. Oper. Res., 2002, 143, 19–31.
• [22] YOUNESS E.A., EMAM O.E., HAFEZ M.S., Fuzzy bi-level multiobjective fractional integer programming, Appl. Math., 2014, 8 (6), 2857–2863.
• [23] ZHENG Y., LIU J., WAN Z., Interactive fuzzy decision making method for solving bilevel programming problem, Appl. Math. Model., 2014, 38 (13), 3136–3141.