Abstract

PADAYACHEE, J.  and  BRIGHT, G.. A multi-period group technology method for dynamic cellular manufacturing systems. S. Afr. J. Ind. Eng. [online]. 2016, vol.27, n.4, pp.90-100. ISSN 2224-7890.  http://dx.doi.org/10.7166/27-4-1524.

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.

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