A New Method of Product Configuration for Customization System into Supply Chain

2011 ◽  
Vol 121-126 ◽  
pp. 3870-3874
Author(s):  
Xue Yan Sun ◽  
Xing Yu Jiang ◽  
Shi Jie Wang ◽  
Xin Min Zhang

To establish the configuration relations of complex product in the process of customization into supply chain, a new method of product configuration 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.

2010 ◽  
Vol 97-101 ◽  
pp. 2707-2710
Author(s):  
Ying Ying Su ◽  
Jian Rong Wang ◽  
Wan Shan Wang

Aiming at manufacturing resources configuration in collaborative manufacturing environment, configuration flow with process tasks decomposition based on improved ant colony algorithm was proposed. Process tasks were decomposed based on summary process routes of parts and a multi-objective configuration model to collaborative manufacturing resources configuration was built. Basic ant colony algorithm was improved for solving this model by the combination of adaptive control and pheromone update mechanism. Pheromone is in the range of a max-min interval based on ant colony algorithm with the maximal-minimal pheromone limit. Compared to basic ant colony algorithm, superiority of improved ant colony algorithm was revealed by simulation example


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