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

Authors

  • Enrico Naidoo University of KwaZulu-Natal, South Africa
  • Jared Padayachee University of KwaZulu-Natal, South Africa
  • Glen Bright University of KwaZulu-Natal, South Africa

DOI:

https://doi.org/10.7166/29-2-1824

Keywords:

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

Issue

Vol. 29 No. 2 (2018)

Section

General Articles

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