Multi-objective Optimization Model for Supplier Selection Problem in Fuzzy Environment

Supplier selection decisions are typically multi-objectives in nature and it is an important component of production and logistics management for many firms. The present study mainly investigate a multi-objective supplier selection planing problem in fuzzy environment and the uncertain model is converted into deterministic form by the expected value measure (EVM). This paper aims at multi-objective optimization for minimizing cost and maximizing product quality level. For solving the multi-objective problem a weighted sum base genetic algorithm is applied and the best solution is provided using fuzzy simulation. Finally, a numerical example is used to illustrate the effectiveness of the proposed model and solution approach.

[1]  S. H. Ghodsypour,et al.  The total cost of logistics in supplier selection, under conditions of multiple sourcing, multiple criteria and capacity constraint , 2001 .

[2]  F. Roodhooft,et al.  A Mathematical Programming Approach for Procurement Using Activity Based Costing , 2000 .

[3]  Wen Lea Pearn,et al.  Decision-making in a single-period inventory environment with fuzzy demand , 2011, Expert Syst. Appl..

[4]  Jiuping Xu,et al.  A multi-objective decision making model for the vendor selection problem in a bifuzzy environment , 2011, Expert Syst. Appl..

[5]  S. H. Ghodsypour,et al.  Fuzzy multiobjective linear model for supplier selection in a supply chain , 2006 .

[6]  J. Current,et al.  A MULTIOBJECTIVE APPROACH TO VENDOR SELECTION , 1993 .

[7]  Mark S. Daskin,et al.  Strategic facility location: A review , 1998, Eur. J. Oper. Res..

[8]  Didier Dubois,et al.  Possibility Theory - An Approach to Computerized Processing of Uncertainty , 1988 .

[9]  A. Gaballa.  Minimum Cost Allocation of Tenders , 1974 .

[10]  David L. Olson,et al.  Supply chain risk, simulation, and vendor selection , 2008 .

[11]  Mohsen Jafari Songhori,et al.  An integrated fuzzy group decision making/fuzzy linear programming (FGDMLP) framework for supplier evaluation and order allocation , 2009 .

[12]  J. Rittscher,et al.  A multi-objective supplier selection model under stochastic demand conditions , 2007 .

[13]  Manoj Kumar,et al.  A fuzzy programming approach for vendor selection problem in a supply chain , 2006 .

[14]  Ding-zhong Feng,et al.  Vendor selection in supply chain system: an approach using fuzzy decision and AHP , 2005, Proceedings of ICSSSM '05. 2005 International Conference on Services Systems and Services Management, 2005..

[15]  Birsen Karpak,et al.  An application of visual interactive goal programming: a case in vendor selection decisions , 1999 .

[16]  Shu-Cherng Fang,et al.  A genetics-based approach for aggregated production planning in a fuzzy environment , 1997, IEEE Trans. Syst. Man Cybern. Part A.

[17]  Witold Pedrycz,et al.  Fuzzy evolutionary computation , 1997 .

[18]  Gülçin Büyüközkan,et al.  A novel fuzzy multi-criteria decision framework for sustainable supplier selection with incomplete information , 2011, Comput. Ind..

[19]  Gwo-Hshiung Tzeng,et al.  A fuzzy integral-based model for supplier evaluation and improvement , 2014, Inf. Sci..

[20]  Raja G. Kasilingam,et al.  Selection of vendors—a mixed-integer programming approach , 1996 .

[21]  Huseyin Selcuk Kilic,et al.  An integrated approach for supplier selection in multi-item/multi-supplier environment , 2013 .