中文摘要
單元式製造在批次製造過程中可以減少前置時間，為ㄧ有名的策略，其中最有名的方法是群集分析，也就是使用相似度和分群法，將相似特性的零件聚集起來，形成ㄧ零件家族。
本文提出兩個相似度並結合Yang 與 Wu (2004) 所提出的SCM分群法，將機器和零件組成單元形成。根據數值模擬與資料，顯示：本文所提之相似度量測可以得到好的單元形成。

Abstract
Cellular manufacturing is a well-known strategy for reducing lead times in batch production systems. One of the well-known approaches is the cluster analysis method, which uses similarity measures and clustering methods to group similar parts into part families.
In this study, we propose two similarity measures and apply a clustering algorithm, called Similarity-Based Robust Clustering Method (SCM) proposed by Yang and Wu (2004) , with cell formation in group technology. According to the result of real application examples, the proposed similarity measures perform well.

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