Supplier Selection Using Fuzzy MCDM Techniques: A Literature Review

被引:0
作者
Renganath, K. [1 ]
Suresh, M. [1 ]
机构
[1] Amrita Vishwa Vidyapeetham Univ, Amrita Sch Business, Coimbatore, Tamil Nadu, India
来源
2016 IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND COMPUTING RESEARCH | 2016年
关键词
supplier selection; multi-criteria decision making; fuzzy logic; literature review; DECISION-SUPPORT; SYSTEM; TOPSIS; MODEL; CHAIN; AHP;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Supplier selection for an organization is a strategic decision which follows the practice of contemporary supply chain management of evaluating the potential supplier's by taking into consideration multiple criteria's for supplier evaluation. Finalizing a supplier for an organization is a complex issue and lots of uncertainties are involved with a compulsion to choose the best supplier among the provided alternatives. Fuzzy multi criteria decision making techniques will come in handy to deal with the qualms challenged, which eventually leads in picking up the best supplier for the elementary functioning of the organization. This article presents a comprehensive bibliographic study about the supplier selection using fuzzy logic through numerous approaches. Thus it gives a clear view on how the supplier selections are carried out by using various fuzzy and hybrid fuzzy algorithm in various sectors. This review indicates that the FTOPSIS approach is used by many researchers for their supplier section model.
引用
收藏
页码:419 / 424
页数:6
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