A mathematical programming model for suppliers selection

In this paper we propose a new weighted nonlinear model to solve the multiple criteria supplier selection problem. Our model not only incorporates multiple criteria for supplier selection, but also maintains the effects of weights in the final solution. An illustrative example is presented to compare our model and those in the literature.

[1]  Hongwei Ding,et al.  A simulation optimization methodology for supplier selection problem , 2005, Int. J. Comput. Integr. Manuf..

[2]  Atakan Yücel,et al.  An integrated fuzzy-lp approach for a supplier selection problem in supply chain management , 2009, Expert Syst. Appl..

[3]  Kin Keung Lai,et al.  An novel approach to supplier selection based on vague sets group decision , 2009, Expert Syst. Appl..

[4]  Gary W. Dickson,et al.  AN ANALYSIS OF VENDOR SELECTION SYSTEMS AND DECISIONS , 1966 .

[5]  Wan Lung Ng,et al.  An efficient and simple model for multiple criteria supplier selection problem , 2008, Eur. J. Oper. Res..

[6]  Manoj Kumar Tiwari,et al.  Global supplier selection: a fuzzy-AHP approach , 2008 .

[7]  Selim Zaim,et al.  An application of data envelopment analytic hierarchy process for supplier selection: a case study of BEKO in Turkey , 2007 .

[8]  Henry C. W. Lau,et al.  Design of an intelligent supplier relationship management system for new product development , 2004, Int. J. Comput. Integr. Manuf..

[9]  Fong-Yuen Ding,et al.  Using data envelopment analysis to compare suppliers for supplier selection and performance improvement , 2000 .

[10]  Cornelius Glackin,et al.  Employing dynamic fuzzy membership functions to assess environmental performance in the supplier selection process , 2006 .

[11]  F. Chan,et al.  Multi-objective resource assignment problem in a product-driven supply chain using a Taguchi-based DNA algorithm , 2009 .