Supplier Selection by Bi-Objectives Mixed Integer Program Approach
Commenced in January 2007
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Edition: International
Paper Count: 32807
Supplier Selection by Bi-Objectives Mixed Integer Program Approach

Authors: K.-H. Yang

Abstract:

In the past, there was a lot of excellent research studies conducted on topics related to supplier selection. Because the considered factors of supplier selection are complicated and difficult to be quantified, most researchers deal supplier selection issues by qualitative approaches. Compared to qualitative approaches, quantitative approaches are less applicable in the real world. This study tried to apply the quantitative approach to study a supplier selection problem with considering operation cost and delivery reliability. By those factors, this study applies Normalized Normal Constraint Method to solve the dual objectives mixed integer program of the supplier selection problem.

Keywords: Bi-objectives MIP, normalized normal constraint method, supplier selection, quantitative approach.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1130927

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References:


[1] J. Chai, J. N. K. Liu, and E. W. T. Ngai, “Application of decision-making techniques in supplier selection: A systematic review of literature,” Expert Systems with Applications, vol. 40, 2013, pp. 3872-3885.
[2] A. Wetzstein, E. Hartmann, W. C .Bentonjr, and N.-O. Hohenstein, “A systematic assessment of supplier selection literature – State-of-the- art and future scope”
[3] A. Ravi Ravindran, R. Ufuk Bilsel, V. Wadhwa and T. Yang, “Risk adjusted multicriteria supplier selection models with applications,” International Journal of Production Research, vol. 48, no. 2, 2010, pp. 405-424.
[4] W. L. Ng, “An efficient and simple model for multiple criteria supplier selection problem,” European Journal of Operational Research, vol. 186, 2008, pp. 1059-1067.
[5] V. Chankong and Y. Y. Haimes. “Multiobjective Decision Making: Theory and Methodology”, 1983, North-Holland, Amsterdam.
[6] M. Ehrgott, M. Wiecek, Multiobjective programming, in: J. Figueira, S. Greco, M. Ehrgott (Eds.), Multiple Criteria Decision Analysis. State of the Art Surveys, Springer, 2005, pp. 667–722.
[7] A. Messac, A. Ismail-Yahaya, and C. A. Mattson. “The Normalized Normal Constraint Method for Generating the Pareto Frontier,” Structural and Multidisciplinary Optimization, vol. 25, no. 2, 2003, pp. 86-98.