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A fuzzy multiobjective model for supplier selection under considering stochastic demand in a supply chain. (English) Zbl 1394.90596

Summary: With the development of market competition, company faces more and more pressures. Meanwhile, procurement has a vital effect on achieving competitive advantages in a supply chain. Selecting the appropriate suppliers is one of the most important sections in purchase management. However, in real situation, supplier selection is a multiple objective problem about different items with vagueness and randomness of the data. It is very complex. Hence, research about supplier selection is relatively scarce under considering multiple items, discount price, and fuzzy and stochastic information. In our paper, we develop a fuzzy multiobjective supplier selection model for overcoming uncertainty and multiple items. Stochastic demand, fuzzy objectives, and weights are simultaneously applied to help the managers to select the suitable suppliers about different items. For illustration purpose, a numerical example is presented to verify the effectiveness of the proposed model.

MSC:

90C70 Fuzzy and other nonstochastic uncertainty mathematical programming
90B06 Transportation, logistics and supply chain management
90C29 Multi-objective and goal programming
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[1] Ghobadian, A.; Stainer, A.; Kiss, T., A computerized vendor rating system, Proceedings of the 1st International Symposium on Logistics, The University of Nottingham
[2] Weber, C. A.; Current, J. R.; Benton, W. C., Vendor selection criteria and methods, European Journal of Operational Research, 50, 1, 2-18, (1991) · Zbl 1403.90061 · doi:10.1016/0377-2217(91)90033-R
[3] Liu, S.; Wang, L., Understanding the impact of risks on performance in internal and outsourced information technology projects: the role of strategic importance, International Journal of Project Management, 32, 8, 1494-1510, (2014) · doi:10.1016/j.ijproman.2014.01.012
[4] Pan, W.; Wang, X.; Zhong, Y.-G.; Yu, L.; Jie, C.; Ran, L.; Qiao, H.; Wang, S.; Xu, X., A fuzzy multi-objective model for capacity allocation and pricing policy of provider in data communication service with different QoS levels, International Journal of Systems Science, 43, 6, 1054-1063, (2012) · Zbl 1307.90165 · doi:10.1080/00207721.2010.549581
[5] Wang, L.; Qu, H.; Liu, S.; Chen, C., Optimizing the joint replenishment and channel coordination problem under supply chain environment using a simple and effective differential evolution algorithm, Discrete Dynamics in Nature and Society, 2014, (2014) · doi:10.1155/2014/709856
[6] Luhandjula, M. K., Fuzziness and randomness in an optimization framework, Fuzzy Sets and Systems, 77, 3, 291-297, (1996) · Zbl 0869.90081 · doi:10.1016/0165-0114(95)00043-7
[7] Luhandjula, M. K., Optimisation under hybrid uncertainty, Fuzzy Sets and Systems, 146, 2, 187-203, (2004) · Zbl 1061.90123 · doi:10.1016/j.fss.2004.01.002
[8] Liu, B., Fuzzy random dependent-chance programming, IEEE Transactions on Fuzzy Systems, 9, 5, 721-726, (2001) · doi:10.1109/91.963758
[9] Liu, B., Fuzzy random chance-constrained programming, IEEE Transactions on Fuzzy Systems, 9, 5, 713-720, (2001) · doi:10.1109/91.963757
[10] Liu, B.; Liu, Y.-K., Expected value of fuzzy variable and fuzzy expected value models, IEEE Transactions on Fuzzy Systems, 10, 4, 445-450, (2002) · doi:10.1109/TFUZZ.2002.800692
[11] Liu, Y.-K.; Liu, B., A class of fuzzy random optimization: expected value models, Information Sciences, 155, 1-2, 89-102, (2003) · Zbl 1039.60002 · doi:10.1016/S0020-0255(03)00079-3
[12] Kumar, M.; Vrat, P.; Shankar, R., A fuzzy programming approach for vendor selection problem in a supply chain, International Journal of Production Economics, 101, 2, 273-285, (2006) · doi:10.1016/j.ijpe.2005.01.005
[13] Amid, A.; Ghodsypour, S. H.; O’Brien, C., Fuzzy multiobjective linear model for supplier selection in a supply chain, International Journal of Production Economics, 104, 2, 394-407, (2006) · doi:10.1016/j.ijpe.2005.04.012
[14] Amid, A.; Ghodsypour, S. H.; O’Brien, C., A weighted additive fuzzy multiobjective model for the supplier selection problem under price breaks in a supply Chain, International Journal of Production Economics, 121, 2, 323-332, (2009) · doi:10.1016/j.ijpe.2007.02.040
[15] Wu, D. D.; Zhang, Y.; Olson, D. L., Fuzzy multi-objective programming for supplier selection and risk modeling: a possibility approach, European Journal of Operational Research, 200, 3, 774-787, (2010) · Zbl 1177.90370 · doi:10.1016/j.ejor.2009.01.026
[16] Ozkok, B. A.; Tiryaki, F., A compensatory fuzzy approach to multi-objective linear supplier selection problem with multiple-item, Expert Systems with Applications, 38, 9, 11363-11368, (2011) · doi:10.1016/j.eswa.2011.03.004
[17] Lin, R.-H., An integrated model for supplier selection under a fuzzy situation, International Journal of Production Economics, 138, 1, 55-61, (2012) · doi:10.1016/j.ijpe.2012.02.024
[18] Nazari-Shirkouhi, S.; Shakouri, H.; Javadi, B.; Keramati, A., Supplier selection and order allocation problem using a two-phase fuzzy multi-objective linear programming, Applied Mathematical Modelling, 37, 22, 9308-9323, (2013) · Zbl 1427.90180 · doi:10.1016/j.apm.2013.04.045
[19] Kilic, H. S., An integrated approach for supplier selection in multi-item/multi-supplier environment, Applied Mathematical Modelling, 37, 14-15, 7752-7763, (2013) · Zbl 1426.90152 · doi:10.1016/j.apm.2013.03.010
[20] Choudhary, D.; Shankar, R., A goal programming model for joint decision making of inventory lot-size, supplier selection and carrier selection, Computers and Industrial Engineering, 71, 1, 1-9, (2014) · doi:10.1016/j.cie.2014.02.003
[21] Pan, W.; Yu, L.; Wang, S.; Wang, X., A fuzzy multi-objective model for provider selection in data communication services with different QoS levels, International Journal of Production Economics, 147, 689-696, (2014) · doi:10.1016/j.ijpe.2013.04.030
[22] Zadeh, L. A., Fuzzy sets, Information and Computation, 8, 338-353, (1965) · Zbl 0139.24606
[23] Buckley, J. J., Fuzzy hierarchical analysis, Fuzzy Sets and Systems, 17, 3, 233-247, (1985) · Zbl 0602.90002 · doi:10.1016/0165-0114(85)90090-9
[24] Kaufmann, A.; Gupta, M. M., Introduction to Fuzzy Arithmetic: Theory and Applications, (1991), New York, NY, USA: D. Van Nostrand Reinhold Company, New York, NY, USA · Zbl 0754.26012
[25] Negi, D. S., Fuzzy analysis and optimization [Ph.D. Dissertation], (1989), Department of Industrial Engineering, Kansas State University
[26] Zadeh, L. A., The concept of a linguistic variable and its application to approximate reasoning-II, Information Sciences, 8, 4, 301-357, (1975) · Zbl 0404.68074 · doi:10.1016/0020-0255(75)90046-8
[27] Zimmermann, H.-J., Fuzzy programming and linear programming with several objective functions, Fuzzy Sets and Systems, 1, 1, 45-55, (1978) · Zbl 0364.90065
[28] Zimmermann, H. J., Fuzzy Sets, Decision Making and Expert Systems, (1987), Boston, Tex, USA: Kluwer Academic Publishers, Boston, Tex, USA
[29] Sakawa, M., Fuzzy Sets and Interactive Multiobjective Optimization, (1993), New York, NY, USA: Plenum Press, New York, NY, USA · Zbl 0842.90070 · doi:10.1007/978-1-4899-1633-4
[30] Zimmermann, H. J., Fuzzy Set Theory and Its Applications, (1992), Boston, Mass, USA: Kluwer Academic Publishers, Boston, Mass, USA
[31] Bellman, R. E.; Zadeh, L. A., Decision-making in a fuzzy environment, Management Science, 17, 4, B141-B164, (1970) · Zbl 0224.90032 · doi:10.1287/mnsc.17.4.B141
[32] Tiwari, R. N.; Dharmahr, S.; Rao, J. R., Fuzzy goal programming—an additive model, Fuzzy Sets and Systems, 24, 1, 27-34, (1987) · Zbl 0627.90073 · doi:10.1016/0165-0114(87)90111-4
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