Commenced in January 2007
Paper Count: 30836
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.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1130927Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 549
 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.
 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”
 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.
 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.
 V. Chankong and Y. Y. Haimes. “Multiobjective Decision Making: Theory and Methodology”, 1983, North-Holland, Amsterdam.
 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.
 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.