A MULTI-STAGE OPTIMISATION METHOD FOR THE MANAGEMENT OF AN ON-DEMAND FIXTURE MANUFACTURING CELL FOR MASS CUSTOMISATION PRODUCTION SYSTEMS

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...

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Bibliographic Details
Published in:South African journal of industrial engineering 2018-08, Vol.29 (2), p.52-64
Main Authors: Naidoo, Enrico, Padayachee, Jared, Bright, Glen
Format: Article
Language:English
Subjects:
cellular manufacturing systems
Cluster analysis
Clustering
Customization
Engineering, Industrial
Fixtures
Integer programming
Job shops
Linear programming
Manufacturing cells
mass customisation
Mixed integer
mixed integer linear programming
Optimization
Production planning
Production scheduling
reconfigurable fixtures
Reconfiguration
scheduling and optimisation
Vector quantization
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Summary: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.
ISSN:2224-7890
1012-277X
2224-7890
DOI:10.7166/29-2-1824