MANAGEMENT OPTIMISATION OF MASS CUSTOMISATION MANUFACTURING USING COMPUTATIONAL INTELLIGENCE

• Main Authors: Louwrens Butler, Glen Bright
• Format: Article
• Language: English
• Published: Stellenbosch University 2018-05-01
• Series: South African Journal of Industrial Engineering
• Subjects: mass manufacturing; mass customisation; Computational intelligence paradigms; advanced manufacturing system
• Online Access: http://sajie.journals.ac.za/pub/article/view/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.