Title :
Research on dynamic scheduling operation method in supply chain based on Ant Colony Optimization
Author :
Xu, Wang ; Yan-min, Jia ; Tian-lai, Yu
Author_Institution :
Coll. of Civil Eng., Northeast Forestry Univ., Harbin
Abstract :
In order to improve the efficiency of supply chain dynamic scheduling, according to the essential operation characteristics and mechanism in supply chain dynamic scheduling, dynamic scheduling operation method in supply chain was studied through ant colony optimization algorithm. The supply chain dynamic scheduling based on ant colony optimization algorithm was simulated by experimental data. When generation iteration is 500 times, the power trend curve of optimal evaluation index is convergence in 115.156. The optimal scheme appears in generation 365. All orders are completed within constraint units. The production cost and the inventory cost are minimums. By comparison confirmed, the method has better optimal performance and adaptability. Dynamic scheduling operation method based on ant colony optimization is better than that of genetic algorithm and expert systems.
Keywords :
costing; expert systems; genetic algorithms; scheduling; supply chains; ant colony optimization; dynamic scheduling operation method; expert systems; generation iteration; genetic algorithm; inventory cost; production cost; supply chain; Ant colony optimization; Convergence; Costs; Dynamic scheduling; Expert systems; Genetic algorithms; Power generation; Production; Scheduling algorithm; Supply chains;
Conference_Titel :
Industrial Informatics, 2008. INDIN 2008. 6th IEEE International Conference on
Conference_Location :
Daejeon
Print_ISBN :
978-1-4244-2170-1
Electronic_ISBN :
1935-4576
DOI :
10.1109/INDIN.2008.4618216