The Optimal Selection of Supply Chain Partners for Mining Enterprises with Genetic Algorithm

Author

He, Ming-Xiang ; Huang, Bao-Xiang ; Wei, Jiu-Chuan ; Lu, Xin-Ming

Author_Institution

Coll. of Inf. Sci. & Eng., Shandong Univ. of Sci. & Technol., Qingdao, China

fYear

2011

fDate

15-16 May 2011

Firstpage

336

Lastpage

340

Abstract

For the characteristics of supply chains in the enterprises, it raises the evaluation factors in the partner selection in the mining enterprises, and constructs multi-objective optimization model of partner selection in mining enterprises, combined with the degree of the close relationship between business. And then, it introduces the application of genetic algorithm in partner selections of the mining enterprises. Finally the typical experiment, by using the MATLAB Genetic Algorithm Toolbox for calculation, shows that using genetic algorithm to optimize partner selection in the mining enterprises is feasible and effective.

Keywords

decision making; genetic algorithms; mining industry; supply chain management; MATLAB genetic algorithm toolbox; mining enterprises; multiobjective optimization model; optimal supply chain partner selection; Coal; Encoding; Genetic algorithms; Genetics; Indexes; Optimization; Supply chains; MATLAB Genetic Algorithm Toolbox; genetic algorithm; partners; supply chains;

fLanguage

English

Publisher

ieee

Conference_Titel

Digital Media and Digital Content Management (DMDCM), 2011 Workshop on

Conference_Location

Hangzhou

Print_ISBN

978-1-4577-0271-6

Electronic_ISBN

978-0-7695-4413-7

Type

conf

DOI

10.1109/DMDCM.2011.12

Filename

5959759