Assembly Sequence Unconventionality Planning Method Based on Genetic Algorithms and Gray Theory for Complex Products
Aim at the problem that the variation of constraint leads to variation of assembly sequence, this paper presents a method based on the gray theory associated with genetic algorithm (GA). The variation of constraint on assembly site for complex products includes absence of parts, fixtures, resource and so on. Firstly, a seven-cell coding format is built based on multiple genes. The fitness function is built taking the constraint relation into account, and synthesizing the parallelism, stabilization, repeated directional and aggregation of the sub-assembly. The choice gather of assembly sequence is generated from the variation node after implementing GA operation. Secondly, the gray associated model is built considering the choice gather of assembly sequence as the gray decision-making gather. The reference sequence is generated from original assembly sequence. By analyzing the gray associated value, an optimal or near-optimal assembly sequence is created. This method is tested on a practical case and the result shows its feasibility and superiority.
Assembly Sequence Unconventionality Planning Genetic Algorithms Gray Theory
Zhao Lei Li Yuan Yu Jianfeng
Northwestern Polytechnical University, Xian, Shaanxi, 710072, China
国际会议
三亚
英文
167-171
2012-01-06（万方平台首次上网日期，不代表论文的发表时间）