Supplier Selection Using Multiobjective Evolutionary Algorithm

被引：0

作者：

Rankovic, Vladimir ^{[1
]}

Arsovski, Zora ^{[1
]}

Arsovski, Slavko ^{[2
]}

Kalinic, Zoran ^{[1
]}

Milanovic, Igor ^{[1
]}

Rejman-Petrovic, Dragana ^{[1
]}

机构：

[1] Univ Kragujevac, Fac Econ, Djure Pucara 3, Kragujevac 34000, Serbia

[2] Univ Kragujevac, Fac Mech Engn, Kragujevac 34000, Serbia

来源：

VIRTUAL AND NETWORKED ORGANIZATIONS, EMERGENT TECHNOLOGIES, AND TOOLS | 2012年 / 248卷

关键词：

Supplier selection; multiobjective optimization; evolutionary algorithms; strength Pareto evolutionary algorithm; ANALYTIC HIERARCHY PROCESS;

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 is one of the most critical activities of purchasing management. Nowadays, supplier selection includes a number of different and usually conflicting objectives. Because of that, modern supplier selection techniques imply solving of multiobjective optimization problems. In this paper supplier selection using evolutionary algorithm (SPEA method) is presented. As criteria for selection optimization we used variance of quality and total costs. Results show that described methodology can be applicable for the practical purposes.

引用

页码：327 / +

页数：2

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