Title :
Improved ant colony algorithm for customization system into supply chain
Author :
Jiang, Xingyu ; Jin, Jiaqi ; Zhao, Kai ; Wang, Wanshan
Author_Institution :
Sch. of Mech. Eng., Shenyang Univ. of Technol., Shenyang, China
Abstract :
To establish the configuration relations of complex product structure in the process of customization into supply chain, a new product structure configuration model based on polychromatic graph theory was put forward. Then the optimum product structure configuration mathematical model was got and the improved ant colony algorithm was employed to solve the problem. The results showed that the solution quality got by improved ant colony algorithm was better than the solution got by traditional ant colony algorithm, and the product configuration model can exactly present the configuration information, product attribute and assembly relation for complex product. The customization system offers a kind of new way to meet customers´ requirements that the customers are eager for consumption of varieties, small batch production, short cycle and high quality.
Keywords :
graph theory; optimisation; product customisation; production engineering computing; supply chain management; ant colony algorithm; assembly relation; configuration information; customization system; polychromatic graph theory; product attribute; product structure configuration model; supply chain; Assembly; Automation; Batch production systems; Electronic mail; Graph theory; Information management; Mathematical model; Mechanical engineering; Product customization; Supply chains; ant colony algorithm; customization system; polychromatic graph; product configuration;
Conference_Titel :
Control and Decision Conference (CCDC), 2010 Chinese
Conference_Location :
Xuzhou
Print_ISBN :
978-1-4244-5181-4
Electronic_ISBN :
978-1-4244-5182-1
DOI :
10.1109/CCDC.2010.5498375
