doi: 10.4304/jsw.9.9.2335-2341
Modeling Supply Chain Facility Location Problem and Its Solution Using a Genetic Algorithm
- 1 Hangzhou College of Commerce, Zhejiang Gongshang University, Hangzhou, P. R. China
- 2 School of Business Administration, Zhejiang Gongshang University, Hangzhou, P. R. China
- 3 College of Computer Science & Information Engineering, Zhejiang Gongshang University, Hangzhou, P. R. China
- 4 Center for Studies of Modern Business, Zhejiang Gongshang University, Hangzhou, P. R. China
Abstract
The supply chain facility location problem is an important foundation in the supply chain. The quality of facilities location directly influences the production and operation status of enterprise. Therefore, it is critical for enterprises to adopt scientific and effective methods for facility location problem assessment and a smooth decision. This article concentrates on the development status of location problem, focusing on the linear programming model and a genetic algorithm in the location problem analysis and analytical method. In the linear programming model, because the given complex table calculation method is too complicated and the workload is very large, the Excel software is proposed to solve the location problem, which can greatly improve the efficiency of enterprise facility location problem. In addition, a genetic algorithm based on MATLAB toolbox is applied to another type of facility location problem, which provides a referential method for location decision under different conditions and different facilities.
Keywords
- supply chain facility location problem
How to Cite
Bing Wang, Xiaokang Fu, Tinggui Chen, and Guanglan Zhou, "Modeling Supply Chain Facility Location Problem and Its Solution Using a Genetic Algorithm," Journal of Software, vol. 9, no. 9, pp. 2335-2341, 2014. https://doi.org/ 10.4304/jsw.9.9.2335-2341
Copyright & License
Copyright © 2014 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).