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

Jared Padayachee, Glen Bright

Abstract


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-off between reconfiguration cost and the cost of deficit capacity. 


Keywords


dynamic cellular manufacturing system; fuzzy clustering; group technology; cell formation

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DOI: http://dx.doi.org/10.7166/27-4-1524

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Copyright (c) 2016 Jared Padayachee, Glen Bright


ISSN 2224-7890 (on-line) ; ISSN 1012-277X (print)


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