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

Authors

  • Jared Padayachee Discipline of Mechanical Engineering School of Engineering University of KwaZulu-Natal
  • Glen Bright Discipline of Mechanical Engineering School of Engineering University of KwaZulu-Natal

DOI:

https://doi.org/10.7166/27-4-1524

Keywords:

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

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. 

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Published

2016-12-06

How to Cite

Padayachee, J., & Bright, G. (2016). A MULTI-PERIOD GROUP TECHNOLOGY METHOD FOR DYNAMIC CELLULAR MANUFACTURING SYSTEMS. The South African Journal of Industrial Engineering, 27(4), 90–100. https://doi.org/10.7166/27-4-1524

Issue

Vol. 27 No. 4 (2016)

Section

General Articles

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