多因子模糊“分枝-聚类”法成组分类

Parts Grouping with Various Factors Fuzzy Successive Branching Cluster Analysis Method

为满足机械制造中多品种中小批量生产条件下精节生产的需要，以多因子模糊“分枝－聚类”法进行成组分类。此零件分类成组的新方法考虑了加工工艺和机床夹具等多种因素，应用模糊等价关系来评价零件之间相似性，其分类结果具有动态特性。

Various factors Fuzzy Successive Branching-cluster Analysis (FSB-CA) method is a new method used for Lean Priduction of machine under more kin and small amount condition. The FSB-CA method for Parts Grouping concerns various factors,such as machining process and the fixture of machine tool and,using fuzzy equal relation,estimates the similarities among the spare parts,which fins out to be a dynamic chracteristic