DocumentCode
668452
Title
Partner selection of Agile Supply Chain based on MAX-MIN ant system
Author
Li Ling ; Zou Feng
Author_Institution
Coll. of Bus. Adm., Liaoning Tech. Univ., Fuxin, China
Volume
1
fYear
2013
fDate
23-24 Nov. 2013
Firstpage
531
Lastpage
534
Abstract
Partner selection is a key problem in the process of buildup of Agile Supply Chain. Ant Colony Optimization was adopted to solve the problem, and a partner selection of Agile Supply Chain algorithm was proposed based on improved Ant Colony Algorithm. During the process of solution, ants incline to choose those enterprises who cooperated well before to form Supply Chains, and the “self-adaptive perturbation mechanism” can avoid the prematurity of the algorithm. Finally, a typical simulation study was carried out to illustrate its validity.
Keywords
ant colony optimisation; minimax techniques; supply chain management; agile supply chain; ant colony optimization; max-min ant system; partner selection; self-adaptive perturbation mechanism; Agile manufacturing; Genetic algorithms; Heuristic algorithms; Linear programming; Optimization; Supply chains; agile supply chain; ant colony algorithm; partner selection; pheromone;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Management, Innovation Management and Industrial Engineering (ICIII), 2013 6th International Conference on
Conference_Location
Xi´an
Print_ISBN
978-1-4799-3985-5
Type
conf
DOI
10.1109/ICIII.2013.6702991
Filename
6702991
Link To Document