Complete and fractional cell formation using Kohonen self-organizing map networks in a cellular manufacturing system

The primary objective of group technology (GT) is to enhance the productivity in batch manufacturing environment. The GT cell formation and fractional cell formation are done by using Kohonen self-organizing map (KSOM) networks. The effectiveness of the cell formation is measured with number of exce...

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Bibliographic Details
Published in:International journal of production research 2006-10, Vol.44 (20), p.4257-4271
Main Authors: Venkumar, P., Haq, A. N.
Format: Article
Language:English
Subjects:
Algorithms
Applied sciences
Benchmarks
Cell formation
Cellular manufacturing system
Exact sciences and technology
Group technology
Heuristic
Inventory control, production control. Distribution
Manufacturing cells
Operational research and scientific management
Operational research. Management science
Studies
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Summary:The primary objective of group technology (GT) is to enhance the productivity in batch manufacturing environment. The GT cell formation and fractional cell formation are done by using Kohonen self-organizing map (KSOM) networks. The effectiveness of the cell formation is measured with number of exceptional elements, bottleneck parts and grouping efficiency and the effectiveness of the fractional cell formation is measured by number of exceptional elements and the number of machines in the reminder cell. This method is applied to the known benchmarked problems found in the literature and it is found to be equal or best when compared to the other algorithms in terms of minimizing the number of the exceptional elements. The relative merits of using this method with respect to other known algorithms/heuristics in terms of computational speed and consistency are presented.
ISSN:0020-7543
1366-588X
DOI:10.1080/00207540500507450