Abstract
Article history: Received October 1, 2011 Received in Revised form November, 14, 2011 Accepted 15 February 2012 Available online 5 March 2012 The present work applies Principal Component Analysis (PCA) for grouping of machines and parts so that the part families could be processed in the cells formed by those associated machines. An incidence matrix with binary entries has been chosen to apply this methodology. After performing the eigenanalysis of the principal component and observing the component loading plot of the principal components, the machine groups and part families are identified and arranged to form machine-part cells. Later, the same methodology is extended and it is applied to nine other machine-part matrices collected from literature for the validation of the proposed methodology. The goodness of cell formation is compared using the grouping efficacy and the potential of eigenanalysis in cell formation is established over the best available results using the various established methodologies. The result shows that in 70% of the problems there is an increase in grouping efficacy and in 30% problem, the performance measure of cell formation is as good as the best result from literature. © 2012 Growing Science Ltd. All rights reserved.
Highlights
The present work applies Principal Component Analysis (PCA) for grouping of machines and parts so that the part families could be processed in the cells formed by those associated machines
The goodness of cell formation is compared using the grouping efficacy and the potential of eigenanalysis in cell formation is established over the best available results using the various established methodologies
The result shows that in 70% of the problems there is an increase in grouping efficacy and in 30% problem, the performance measure of cell formation is as good as the best result from literature
Summary
The present work applies Principal Component Analysis (PCA) for grouping of machines and parts so that the part families could be processed in the cells formed by those associated machines. Since the machines are laid out as a group or cell, requiring reduced movement and flow of parts, it minimizes transportation and waiting and thereby reduces the throughput time. These groups of machining centres are referred as flexible manufacturing systems (FMS) or manufacturing cells (Ham & Hitomi, 1985) and are based on the concept of the GT principles to manufacturing (Burbidge, 1969) known as cellular manufacturing (Wemmerlov & Hyer, 1986). A cellular manufacturing system is primarily concerned with production flow analysis where machines and parts are grouped together based on manufacturing similarities
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