A MULTI-STAGE OPTIMISATION METHOD FOR THE MANAGEMENT OF AN ON-DEMAND FIXTURE MANUFACTURING CELL FOR MASS CUSTOMISATION PRODUCTION SYSTEMS
DOI:
https://doi.org/10.7166/29-2-1824Keywords:
mass customisation, reconfigurable fixtures, scheduling and optimisation, cellular manufacturing systems, cluster analysis, mixed integer linear programming (MILP).Abstract
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.
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Published
2018-08-31
How to Cite
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. The South African Journal of Industrial Engineering, 29(2), 52–64. https://doi.org/10.7166/29-2-1824
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