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
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;
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
DOI :
10.1109/ICIII.2013.6702991
