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 :
بازگشت