面向模块化制造单元的零件分组算法应用

Parts Grouping for Modular Manufacturing Cells

零件分组是模块化制造单元形成的基础,零件特征对分组影响很大。在模糊聚类算法中引入零件特征权重,对零件分组算法进行改进。通过改变同一组零件特征的权重,在不同的权重下得到了不同的零件分组结果,证明了权重对零件分组有很大的影响。实例表明改进的模糊聚类算法能够使零件分组取得更好的效果。

Parts grouping is the foundation of modular manufacturing cells. Parts characteristics weights are added to fuzzy clustering algorithm, so as to improve parts grouping algorithm. Parts grouping changes with different parts characteristics weights, which proves that parts characteristics weights play a significant role in parts grouping. It is demonstrated with an example that the improved algorithm is powerful for parts grouping.