The implementation of reconfigurable fixtures is a major facilitator of mass customisation. Traditional scheduling techniques do not consider reconfigurable fixtures comprehensively. This paper describes a multi-stage optimisation method that manages the recirculation of reconfigurable fixtures in a mass customisation production system. The method was based on an on-demand fixture manufacturing cell that served a part processing cell. The method consists of three stages: using established techniques such as k-means clustering and hierarchical clustering; and a novel mixed integer linear programming (MILP) model to optimise operation sequences. Minimisation of total idle time (and thus makespan) was used as the measure of performance.
CITATION STYLE
Naidoo, E., Padayachee, J., & Bright, G. (2018). A multi-stage optimisation method for the management of an on-demand fixture manufacturing cell for mass customisation production systems. South African Journal of Industrial Engineering, 29(2), 52–64. https://doi.org/10.7166/29-2-1824
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