Journal article
A comparative study of similarity measures for manufacturing cell formation
Journal of manufacturing systems, Vol.27(1), pp.19-25
2008
DOI: 10.1016/j.jmsy.2008.07.002
Abstract
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.
Details
- Title: Subtitle
- A comparative study of similarity measures for manufacturing cell formation
- Creators
- S Oliveira - Computer Science Department, University of Iowa, Iowa City, IA, USAJ.F.F Ribeiro - FEARP, Universidade de São Paulo, Ribeirão Preto, BrazilS.C Seok - Computer Science Department, University of Iowa, Iowa City, IA, USA
- Resource Type
- Journal article
- Publication Details
- Journal of manufacturing systems, Vol.27(1), pp.19-25
- Publisher
- Elsevier Ltd
- DOI
- 10.1016/j.jmsy.2008.07.002
- ISSN
- 0278-6125
- eISSN
- 1878-6642
- Language
- English
- Date published
- 2008
- Academic Unit
- Computer Science; Mathematics
- Record Identifier
- 9984002412102771
Metrics
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