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South African Journal of Industrial Engineering
versión On-line ISSN 2224-7890
versión impresa ISSN 1012-277X
Resumen
BUTLER, L. y BRIGHT, G.. Management optimisation of mass customisation manufacturing using computational intelligence. S. Afr. J. Ind. Eng. [online]. 2018, vol.29, n.1, pp.86-96. ISSN 2224-7890. http://dx.doi.org/10.7166/29-1-1790.
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.