Reconfigurable Process Planning Based on Improved Immune Genetic Algorithm

Abstract:

According to the demand changes from the competitive market, machine tools and other resources could be added or removed from manufacturing or assembling lines to meet different outputs. In the case of production reduction, appropriate equipment were selected and removed to change the capacity of the existing manufacturing line based on the removing principle. An improved immune genetic algorithm based on vaccine autonomous obtaining and updating was proposed, crossover and mutation operation in traditional genetic algorithm were changed to transfer and adjustment between different gene locations and transfer of operations between different stations can be realized. The objectives of reconfigurable process planning was to minimize the bottleneck cycle time and imbalance among stations. Finally, a cylinder block case was illustrated to verify the effectiveness of the given method.