Title

A Comparison of Three Array-Based Clustering Techniques for Manufacturing Cellular Formation

Publication Type

Journal Article

Publication Date

1990

Abstract

This paper examines three array-based clustering algorithms—rank order clustering (ROC), direct clustering analysis (DCA), and bond energy analysis (BEA)—for manufacturing cell formation. According to our test, bond energy analysis outperforms the other two methods, regardless of which measure or data set is used. If exceptional elements exist in the data set, the BEA algorithm also produces better results than the other two methods without any additional processing. The BEA can compete with other more complicated methods that have appeared in the literature.

Discipline

Computer Sciences | Operations Research, Systems Engineering and Industrial Engineering

Research Areas

Information Systems and Management

Publication

International Journal of Production Research

Volume

28

Issue

8

First Page

1417

Last Page

1433

ISSN

0020-7543

Identifier

10.1080/00207549008942802

Publisher

Taylor and Francis

Additional URL

http://dx.doi.org/10.1080/00207549008942802