A comparative study of similarity measures for manufacturing cell formation


Autoria(s): OLIVEIRA, S.; RIBEIRO, J. F. F.; SEOK, S. C.
Contribuinte(s)

UNIVERSIDADE DE SÃO PAULO

Data(s)

19/10/2012

19/10/2012

2008

Resumo

We introduced a spectral clustering algorithm based on the bipartite graph model for the Manufacturing Cell Formation problem in [Oliveira S, Ribeiro JFF, Seok SC. A spectral clustering algorithm for manufacturing cell formation. Computers and Industrial Engineering. 2007 [submitted for publication]]. It constructs two similarity matrices; one for parts and one for machines. The algorithm executes a spectral clustering algorithm on each separately to find families of parts and cells of machines. The similarity measure in the approach utilized limited information between parts and between machines. This paper reviews several well-known similarity measures which have been used for Group Technology. Computational clustering results are compared by various performance measures. (C) 2008 The Society of Manufacturing Engineers. Published by Elsevier Ltd. All rights reserved.

Identificador

JOURNAL OF MANUFACTURING SYSTEMS, v.27, n.1, p.19-25, 2008

0278-6125

http://producao.usp.br/handle/BDPI/20551

10.1016/j.jmsy.2008.07.002

http://dx.doi.org/10.1016/j.jmsy.2008.07.002

Idioma(s)

eng

Publicador

SOC MANUFACTURING ENGINEERS

Relação

Journal of Manufacturing Systems

Direitos

restrictedAccess

Copyright SOC MANUFACTURING ENGINEERS

Palavras-Chave #GROUP TECHNOLOGY APPLICATIONS #CLUSTERING-ALGORITHM #SYSTEMS #Engineering, Industrial #Engineering, Manufacturing #Operations Research & Management Science
Tipo

article

original article

publishedVersion