A Fuzzy Multiobjective Model for Supplier Selection under Considering Stochastic Demand in a Supply Chain

被引:6
|
作者
Pan, Wei [1 ]
Wang, Fengxia [1 ]
Guo, Ying [1 ]
Liu, Shan [1 ]
机构
[1] Wuhan Univ, Econ & Management Sch, Wuhan 430072, Peoples R China
基金
美国国家科学基金会;
关键词
EXPECTED VALUE; OPTIMIZATION;
D O I
10.1155/2015/174585
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
With the development of market competition, company faces more and more pressures. Meanwhile, procurement has a vital effect on achieving competitive advantages in a supply chain. Selecting the appropriate suppliers is one of the most important sections in purchase management. However, in real situation, supplier selection is a multiple objective problem about different items with vagueness and randomness of the data. It is very complex. Hence, research about supplier selection is relatively scarce under considering multiple items, discount price, and fuzzy and stochastic information. In our paper, we develop a fuzzy multiobjective supplier selection model for overcoming uncertainty and multiple items. Stochastic demand, fuzzy objectives, and weights are simultaneously applied to help the managers to select the suitable suppliers about different items. For illustration purpose, a numerical example is presented to verify the effectiveness of the proposed model.
引用
收藏
页数:8
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