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Optimisation of manufacturing cell formation with extended great deluge meta-heuristic approach

Optimisation of manufacturing cell formation with extended great deluge meta-heuristic approach The concepts of cellular manufacturing system (CMS) and cell scheduling (CS) have been widely used to meet various production needs. The CMS is a particular case of group technology (GT) applied to improve the production efficiency and reduce operational costs. This work addresses the machine/part grouping and group scheduling problems. The cell formation problem has long been recognised as the most challenging problem in realising the concept of cellular manufacturing. It belongs to the class of NP-hard problems. One of the most important problems in the area of production management is the scheduling problem which has also been proven to be NPhard. To solve this scheduling problem an Extended Great Deluge (EGD) metaheuristic approach is employed. The results of the proposed approach show a major improvement when compared with the results of one of the best algorithms developed so far by other researchers. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Services Operations and Informatics Inderscience Publishers

Optimisation of manufacturing cell formation with extended great deluge meta-heuristic approach

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Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd. All rights reserved
ISSN
1741-539X
eISSN
1741-5403
DOI
10.1504/IJSOI.2012.052180
Publisher site
See Article on Publisher Site

Abstract

The concepts of cellular manufacturing system (CMS) and cell scheduling (CS) have been widely used to meet various production needs. The CMS is a particular case of group technology (GT) applied to improve the production efficiency and reduce operational costs. This work addresses the machine/part grouping and group scheduling problems. The cell formation problem has long been recognised as the most challenging problem in realising the concept of cellular manufacturing. It belongs to the class of NP-hard problems. One of the most important problems in the area of production management is the scheduling problem which has also been proven to be NPhard. To solve this scheduling problem an Extended Great Deluge (EGD) metaheuristic approach is employed. The results of the proposed approach show a major improvement when compared with the results of one of the best algorithms developed so far by other researchers.

Journal

International Journal of Services Operations and InformaticsInderscience Publishers

Published: Jan 1, 2012

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