An Approach of Fuzzy Models for Supplier Assessment and Selection

被引:1
|
作者
Simic, Dragan [1 ]
Svircevic, Vasa [2 ]
Simic, Svetlana [3 ]
机构
[1] Univ Novi Sad, Fac Tech Sci, Trg Dositeja Obradovica 6, Novi Sad 21000, Serbia
[2] Lames Ltd, Sremska Mitrovica 22000, Serbia
[3] Univ Novi Sad, Fac Med, Novi Sad 21000, Serbia
关键词
Supplier assessment; supplier selection; fuzzy model; logistics; LOGISTICS;
D O I
10.1007/978-3-319-07995-0_18
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Supply chain management and strategic sourcing are one of the fastest growing areas of management. Costs of purchasing raw material and components parts from external suppliers are very important. The search for new suppliers is a continuous priority for companies in order to upgrade the variety and typology of their production range. Supplier assessment and selection is one of the most important components of supply chain, and it influences the long term commitments and performance of the company. Good suppliers allow enterprises to achieve good manufacturing performance and make the maximum benefits for practitioners. This paper outlines some current approaches of fuzzy models which are implemented in the terms to improve supplier assessment and selection decision making.
引用
收藏
页码:175 / 184
页数:10
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