A fuzzy multi-objective programming model for supplier selection with volume discount and risk criteria

被引:11
作者
Aghai, Shima [1 ]
Mollaverdi, Naser [2 ]
Sabbagh, Mohammad Saeed [2 ]
机构
[1] Tehran Payamnoor Univ TPNU, Esfahan, Iran
[2] Isfahan Univ Technol IUT, Esfahan, Iran
关键词
Supplier selection; Risk; Fuzzy multi-objective programming; Chance-constrained; Discount quantity;
D O I
10.1007/s00170-013-5562-0
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In contemporary supply chain management, the performance of potential suppliers is evaluated against multiple criteria. In this paper, a fuzzy multi-objective programming model is outlined to propose supplier selection taking quantitative, qualitative, and risk factors into consideration. Also quantity discount has been considered to determine the best suppliers and to place the optimal order quantities among them. The mixed integer derivative nonlinear programming is obtained from fuzzy multi-objective programming model by chance-constrained method. To solve this problem, an innovative method is proposed. In addition, several "what if" scenarios are facilitated. Finally, a real-life sample is used to validate the proposed model.
引用
收藏
页码:1483 / 1492
页数:10
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