SciELO - Scientific Electronic Library Online

 
vol.29 número1Development of a project management methodology for the consulting engineering industryThe discrete time, cost and quality trade-off problem in project scheduling: An efficient solution method based on CellDE algorithm índice de autoresíndice de materiabúsqueda de artículos
Home Pagelista alfabética de revistas  

Servicios Personalizados

Revista

Articulo

Indicadores

    Links relacionados

    • En proceso de indezaciónCitado por Google
    • En proceso de indezaciónSimilares en Google

    Compartir


    South African Journal of Industrial Engineering

    versión On-line ISSN 2224-7890

    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.  https://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.

            · resumen en Africano     · texto en Inglés     · Inglés ( pdf )