A MULTI-PERIOD GROUP TECHNOLOGY METHOD FOR DYNAMIC CELLULAR MANUFACTURING SYSTEMS

A dynamic cellular manufacturing system is a system where cell configurations change in order to respond to changing production requirements. This paper proposes methods for multi-period cell and part family formation. The method of fuzzy C-means clustering is used for part family formation while ba...

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Bibliographic Details
Published in:South African journal of industrial engineering 2016-12, Vol.27 (4), p.90-100
Main Authors: Padayachee, Jared, Bright, Glen
Format: Article
Language:English
Subjects:
Algorithms
cellular manufacturing
Costs
dynamic cellular manufacturing system
Engineering, Industrial
fuzzy clustering
Group technology
Integer programming
Load
Manufacturing cells
Methods
Neural networks
Planning
Relocation
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Summary:A dynamic cellular manufacturing system is a system where cell configurations change in order to respond to changing production requirements. This paper proposes methods for multi-period cell and part family formation. The method of fuzzy C-means clustering is used for part family formation while balancing the part load between cells in each period; a genetic algorithm is presented to solve the model. An integer programming model is presented for multi-period cell formation with the objective of determining an optimal trade-offbetween reconfiguration cost and the cost of deficit capacity.
ISSN:2224-7890
1012-277X
2224-7890
DOI:10.7166/27-4-1524