TY - GEN
T1 - A nested genetic optimization algorithm for the capacitated facility location problem
AU - Huang, Shan Huen
AU - Lin, Pei Chun
AU - Chan, Hou Ip
PY - 2010/12/1
Y1 - 2010/12/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=78751679772&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=78751679772&partnerID=8YFLogxK
U2 - 10.1109/IEEM.2010.5674622
DO - 10.1109/IEEM.2010.5674622
M3 - Conference contribution
AN - SCOPUS:78751679772
SN - 9781424485031
T3 - IEEM2010 - IEEE International Conference on Industrial Engineering and Engineering Management
SP - 2105
EP - 2109
BT - IEEM2010 - IEEE International Conference on Industrial Engineering and Engineering Management
T2 - IEEE International Conference on Industrial Engineering and Engineering Management, IEEM2010
Y2 - 7 December 2010 through 10 December 2010
ER -