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

Enrico Naidoo, Jared Padayachee, Glen Bright

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.


Keywords


mass customisation; reconfigurable fixtures; scheduling and optimisation; cellular manufacturing systems; cluster analysis; mixed integer linear programming (MILP).

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DOI: http://dx.doi.org/10.7166/29-2-1824

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Copyright (c) 2018 Enrico Naidoo, Jared Padayachee, Glen Bright


ISSN 2224-7890 (on-line) ; ISSN 1012-277X (print)


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