Title

Manufacturing Cell Formation by Competitive Learning

Publication Type

Journal Article

Publication Date

1993

Abstract

Cell formation (CF), one of the first problems faced in designing a cellular manufacturing system, involves grouping similar parts into families and corresponding machines into cells. The problem has attracted much attention from academia and industries, and an extensive amount of effort has been put into developing efficient procedures. In this paper, a neural network approach based upon a competitive learning paradigm is proposed to handle such a problem. Computational experience shows that the procedure is fairly efficient and can effectively obtain optimal clustering results.

Discipline

Computer Sciences | Operations Research, Systems Engineering and Industrial Engineering

Research Areas

Information Systems and Management

Publication

International Journal of Production Research

Volume

31

Issue

4

First Page

829

Last Page

843

ISSN

0020-7543

Identifier

10.1080/00207549308956760

Publisher

Taylor and Francis

Additional URL

http://dx.doi.org/10.1080/00207549108948024