DocumentCode
1832026
Title
A nested genetic optimization algorithm for the capacitated facility location problem
Author
Huang, Shan-Huen ; Lin, Pei-Chun ; Chan, Hou-Ip
Author_Institution
Dept. of Logistics Manage., Nat. Kaohsiung First Univ. of Sci. & Technol., Kaohsiung, Taiwan
fYear
2010
fDate
7-10 Dec. 2010
Firstpage
2105
Lastpage
2109
Abstract
This paper examines an integrated model to determine strategic capacitated facility locations based on the view of distribution center management in the upstream supply chain. The model incorporates the sub-problems of service flag allocation and vehicle dispatching allocation. This paper proposes a heuristic nested genetic algorithm which minimizes the total cost while incorporating consideration of the vehicle drivers´ working time limitations. Additionally, an experimental application is also applied to examine the efficiency of the proposed algorithm.
Keywords
facility location; genetic algorithms; goods distribution; supply chain management; vehicles; capacitated facility location problem; distribution center management; heuristic nested genetic algorithm; integrated model; nested genetic optimization algorithm; service flag allocation; strategic capacitated facility location; upstream supply chain; vehicle dispatching allocation; Biological cells; Gallium; Resource management; Sensitivity analysis; Supply chains; Vehicles; capacitated facility location problem; service flag allocation; vehicle dispatching allocation;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Engineering and Engineering Management (IEEM), 2010 IEEE International Conference on
Conference_Location
Macao
ISSN
2157-3611
Print_ISBN
978-1-4244-8501-7
Electronic_ISBN
2157-3611
Type
conf
DOI
10.1109/IEEM.2010.5674622
Filename
5674622
Link To Document