MANAGEMENT OPTIMISATION OF MASS CUSTOMISATION MANUFACTURING USING COMPUTATIONAL INTELLIGENCE

Authors

  • Louwrens Butler Discipline of Mechanical Engineering, School of Engineering, University of Kwa-Zulu Natal, South Africa
  • Glen Bright Discipline of Mechanical Engineering, School of Engineering, University of Kwa-Zulu Natal, South Africa

DOI:

https://doi.org/10.7166/29-1-1790

Abstract

Computational intelligence paradigms can be used for advanced manufacturing system optimisation. A static simulation model of an advanced manufacturing system was developed in order to simulate a manufacturing system. The purpose of this advanced manufacturing system was to mass-produce a customisable product range at a competitive cost. The aim of this study was to determine whether this new algorithm could produce a better performance than traditional optimisation methods. The algorithm produced a lower cost plan than that for a simulated annealing algorithm, and had a lower impact on the workforce.

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Published

2018-05-31

How to Cite

Butler, L., & Bright, G. (2018). MANAGEMENT OPTIMISATION OF MASS CUSTOMISATION MANUFACTURING USING COMPUTATIONAL INTELLIGENCE. The South African Journal of Industrial Engineering, 29(1), 86–96. https://doi.org/10.7166/29-1-1790

Issue

Vol. 29 No. 1 (2018)

Section

General Articles

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