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An Integrated Mathematical Model for Supplier Selection
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 Title & Authors
An Integrated Mathematical Model for Supplier Selection
Asghari, Mohammad;
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Extensive research has been conducted on supplier evaluation and selection as a strategic and crucial component of supply chain management in recent years. However, few articles in the previous literature have been dedicated to the use of fuzzy inference systems as an aid in decision-making. Therefore, this essay attempts to demonstrate the application of this method in evaluating suppliers, based on a comprehensive framework of qualitative and quantitative factors besides the effect of gradual coverage distance. The purpose of this study is to investigate the applicability of the numerous measures and metrics in a multi-objective optimization problem of the supply chain network design with the aim of managing the allocation of orders by coordinating the production lines to satisfy customers' demand. This work presents a dynamic non-linear programming model that examines the important aspects of the strategic planning of the manufacturing in supply chain. The effectiveness of the configured network is illustrated using a sample, following which an exact method is used to solve this multi-objective problem and confirm the validity of the model, and finally the results will be discussed and analyzed.
Supplier Selection;Fuzzy Inference System;Coverage Distance;Multi-objective Programming;
 Cited by
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Aissaoui, N., Haouari, M., and Hassini, E. (2007), Supplier selection and order lot sizing modeling: a review, Computers and Operations Research, 34(12), 3516-3540. crossref(new window)

Amid, A., Ghodsypour, S. H., and O'brien, C. (2006), Fuzzy multiobjective linear model for supplier selection in a supply chain, International Journal of Production Economics, 104(2), 394-407. crossref(new window)

Amin, S. H. and Razmi, J. (2009), An integrated fuzzy model for supplier management: a case study of ISP selection and evaluation, Expert Systems with Applications, 36(4), 8639-8648. crossref(new window)

Amindoust, A., Ahmed, S., Saghafinia, A., and Bahreininejad, A. (2012), Sustainable supplier selection: a ranking model based on fuzzy inference system, Applied Soft Computing, 12(6), 1668-1677. crossref(new window)

Araz, C. and Ozkarahan, I. (2007), Supplier evaluation and management system for strategic sourcing based on a new multicriteria sorting procedure, International Journal of Production Economics, 106(2), 585-606. crossref(new window)

Arikan, F. (2013), A fuzzy solution approach for multi objective supplier selection, Expert Systems with Applications, 40(3), 947-952. crossref(new window)

Barbarosoglu, G. and Yazgac, T. (1997), An application of the analytic hierarchy process to the supplier selection problem, Production and Inventory Management Journal, 38(1), 14-21.

Berman, O., Krass, D. and Drezner, Z. (2003), The gradual covering decay location problem on a network, European Journal of Operational Research, 151(3), 474-480. crossref(new window)

Carrera, D. A. and Mayorga, R. V. (2008), Supply chain management: a modular fuzzy inference system approach in supplier selection for new product development, Journal of Intelligent Manufacturing, 19 (1), 1-12. crossref(new window)

Chan, F. T. S. and Kumar, N. (2007), Global supplier development considering risk factors using fuzzy extended AHP-based approach, Omega, 35(4), 417-431. crossref(new window)

De Boer, L., Labro, E., and Morlacchi, P. (2001), A review of methods supporting supplier selection, European Journal of Purchasing & Supply Management, 7(2), 75-89. crossref(new window)

Dempsey, W. A. (1978), Vendor selection and the buying process, Industrial Marketing Management, 7 (4), 257-267. crossref(new window)

Deshmukh, A. J. and Chaudhari, A. A. (2011), A review for supplier selection criteria and methods, Proceedings of the 1st International Conference on Technology Systems and Management, Mumbai, India, 283-291.

Dickson, G. W. (1966), An analysis of vendor selection system and decisions, International Journal of Purchasing and Materials Management, 2(1), 28-41.

Garcia, N., Puente, J., Fernandez, I., and Priore, P. (2013), Supplier selection model for commodities procurement. Optimised assessment using a fuzzy decision support system, Applied Soft Computing, 13(4), 1939-1951.

Guneri, A. F., Ertay, T., and Yucel, A. (2011), An approach based on ANFIS input selection and modeling for supplier selection problem, Expert Systems with Applications, 38(12), 14907-14917. crossref(new window)

Guo, X., Zhu, Z., and Shi, J. (2014), Integration of semifuzzy SVDD and CC-Rule method for supplier selection, Expert Systems with Applications, 41(4), 2083-2097. crossref(new window)

Ho, W., Xu, X. and Dey, P. K. (2010), Multi-criteria decision making approaches for supplier evaluation and selection: a literature review, European Journal of Operational Research, 202(1), 16-24. crossref(new window)

Kannan, D., Khodaverdi, R., Olfat, L., Jafarian, A., and Diabat, A. (2013), Integrated fuzzy multi criteria decision making method and multi-objective programming approach for supplier selection and order allocation in a green supply chain, Journal of Cleaner Production, 47, 355-367. crossref(new window)

Kenyon, G. and Neureuther, B. D. (2012), An adaptive model for assessing supply chain risk, Journal of Marketing Channels, 19(2), 156-170. crossref(new window)

Liu, H. T. and Wang, W. K. (2009), An integrated fuzzy approach for provider evaluation and selection in third-party logistics, Expert Systems with Applications, 36(3), 4387-4398. crossref(new window)

Mafakheri, F., Breton, M., and Ghoniem, A. (2011), Supplier selection-order allocation: a two-stage multiple criteria dynamic programming approach, International Journal of Production Economics, 132 (1), 52-57. crossref(new window)

Mak, K. L., Cui, L., and Su, W. (2012), An improved genetic approach to optimal supplier selection and order allocation with customer flexibility for multiproduct manufacturing, Industrial Engineering and Management Systems, 11(2), 155-164. crossref(new window)

Mamdani, E. H. and Assilian, S. (1975), An experiment in linguistic synthesis with a fuzzy logic controller, International Journal of Man-Machine Studies, 7 (1), 1-13. crossref(new window)

Nazari-Shirkouhi, S., Shakouri, H., Javadi, B., and Keramati, A. (2013), Supplier selection and order allocation problem using a two-phase fuzzy multiobjective linear programming, Applied Mathematical Modelling, 37(22), 9308-9323. crossref(new window)

Sharma, S. (2010), Policies concerning decisions related to quality level, International Journal of Production Economics, 125(1), 146-152. crossref(new window)

Simchi-Levi, D., Kaminsky, P., and Shimchi-Levi, E. (2000), Designing and Managing the Supply Chain: Concepts, Strategies, and Case Studies, McGraw-Hill, Boston, MA.

Singhal, P., Agarwal, G., and Mittal, M. L. (2011), Supply chain risk management: review, classification and future research directions, International Journal of Business Science and Applied Management, 6(3), 15-42.

Tzeng, G. H. and Huang, J. J. (2011), Multiple Attribute Decision Making: Methods and Applications, Springer, Heidelberg, Germany.

Wang, T. Y. and Yang, Y. H. (2009), A fuzzy model for supplier selection in quantity discount environments, Expert Systems with Applications, 36(10), 12179-12187. crossref(new window)

Ware, N. R., Singh, S. P., and Banwet, D. K. (2014), A mixed-integer non-linear program to model dynamic supplier selection problem, Expert Systems with Applications, 41(2), 671-678. crossref(new window)

Weber, C. A., Current, J. R., and Benton, W. C. (1991), Vendor selection criteria and methods, European Journal of Operational Research, 50(1), 2-18. crossref(new window)

Wu, D. D., Zhang, Y., Wu, D., and Olson, D. L. (2010), Fuzzy multi-objective programming for supplier selection and risk modeling: a possibility approach, European Journal of Operational Research, 200(3), 774-787. crossref(new window)

Yager, R. R. (1978), Ranking fuzzy subsets over the unit interval, Proceedings of the IEEE Conference on Decision and Control, San Diego, CA, 1435-1437.

Yager, R. R. (1981), A procedure for ordering fuzzy subsets of the unit interval, Information Sciences, 24(2), 143-161. crossref(new window)

Zadeh, L. A. (1973), Outline of a new approach to the analysis of complex systems and decision processes, IEEE Transactions on Systems, Man and Cybernetics, 3(1), 28-44.