A comparative study of similarity measures for manufacturing cell formation
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 |
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 |