Affiliation:
1. Eastern Liaoning University
2. Academy of Equipment
Abstract
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
Publisher
Trans Tech Publications, Ltd.
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