GROUPABIL1TY: an analysis of the properties of binary data matrices for group technology
作者:
M. P. CHANDRASEKHARAN,
R. RAJAGOPALAN,
期刊:
International Journal of Production Research
(Taylor Available online 1989)
卷期:
Volume 27,
issue 6
页码: 1035-1052
ISSN:0020-7543
年代: 1989
DOI:10.1080/00207548908942606
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
Block-diagonalization of the machine-component incidence matrix is the first step in the implementation of group technology. Even powerful algorithms will fail to achieve this if the matrix itself is not amenable to block-diagonalization. The present work analyses the properties of the matrix and identifies the standard deviation of the pairwise similarities (Jaccard7rpar; of the vectors as the major factor that decides the groupability of the data set. Many data sets ranging from the perfectly groupable to the most ill structured ones are analysed and presented. The groupability curves show the variation of the property against the relevant factors.
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