Application of noise clustering in group technology

S. Sen, R. Davé
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引用次数: 3

Abstract

Cell formation is the most important problem faced in designing cellular manufacturing systems based on the principle of group technology. In that, parts with similar geometry, function, material and/or requiring a similar production process are grouped into part families and corresponding machines are organized as independent cells. One of the main weaknesses of the conventional grouping methods is that they implicitly assume that the components belong to one of the part families. In reality, some parts often require processing by machines from multiple cells and thereby belong to more than one-part families and appear as bottleneck parts. It is necessary to identify these bottleneck parts while grouping, and subsequently, they may be processed by alternative methods, say subcontracting. The identification of bottleneck parts may be considered equivalent to the isolation of noise and outliers in robust fuzzy classification task. R.N. Dave's (1991) noise resistant fuzzy clustering model is applied to solve this problem.
噪声聚类在群技术中的应用
在基于成组技术原理的细胞制造系统设计中,细胞形成是最重要的问题。在这种情况下,具有相似几何形状、功能、材料和/或需要类似生产工艺的零件被分组到零件族中,相应的机器被组织为独立的单元。传统分组方法的主要缺点之一是它们隐式地假设组件属于部件族之一。现实中,有些零件往往需要由多个单元的机器加工,因此属于多个零件族,并出现瓶颈零件。有必要在分组时识别这些瓶颈部件,随后,它们可以通过其他方法进行处理,例如分包。在鲁棒模糊分类中,瓶颈部件的识别等同于噪声和异常值的隔离。采用R.N. Dave(1991)的抗噪声模糊聚类模型来解决这一问题。
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