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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doaj-fd46d642f100490494608c096131e53d2020-11-25T03:52:32ZengStellenbosch UniversitySouth African Journal of Industrial Engineering1012-277X2224-78902018-08-01292526410.7166/29-2-1824A MULTI-STAGE OPTIMISATION METHOD FOR THE MANAGEMENT OF AN ON-DEMAND FIXTURE MANUFACTURING CELL FOR MASS CUSTOMISATION PRODUCTION SYSTEMSNaidoo, Enrico0Padayachee, Jared 1Bright, Glen2University of KwaZulu-Natal, South AfricaUniversity of KwaZulu-Natal, South AfricaUniversity of KwaZulu-Natal, South AfricaThe 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.http://sajie.journals.ac.za/pub/article/view/1824mass customisationreconfigurable fixturesscheduling and optimisationcellular manufacturing systemscluster analysismixed integer linear programming |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Naidoo, Enrico Padayachee, Jared Bright, Glen |
spellingShingle |
Naidoo, Enrico Padayachee, Jared Bright, Glen 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 mass customisation reconfigurable fixtures scheduling and optimisation cellular manufacturing systems cluster analysis mixed integer linear programming |
author_facet |
Naidoo, Enrico Padayachee, Jared Bright, Glen |
author_sort |
Naidoo, Enrico |
title |
A MULTI-STAGE OPTIMISATION METHOD FOR THE MANAGEMENT OF AN ON-DEMAND FIXTURE MANUFACTURING CELL FOR MASS CUSTOMISATION PRODUCTION SYSTEMS |
title_short |
A MULTI-STAGE OPTIMISATION METHOD FOR THE MANAGEMENT OF AN ON-DEMAND FIXTURE MANUFACTURING CELL FOR MASS CUSTOMISATION PRODUCTION SYSTEMS |
title_full |
A MULTI-STAGE OPTIMISATION METHOD FOR THE MANAGEMENT OF AN ON-DEMAND FIXTURE MANUFACTURING CELL FOR MASS CUSTOMISATION PRODUCTION SYSTEMS |
title_fullStr |
A MULTI-STAGE OPTIMISATION METHOD FOR THE MANAGEMENT OF AN ON-DEMAND FIXTURE MANUFACTURING CELL FOR MASS CUSTOMISATION PRODUCTION SYSTEMS |
title_full_unstemmed |
A MULTI-STAGE OPTIMISATION METHOD FOR THE MANAGEMENT OF AN ON-DEMAND FIXTURE MANUFACTURING CELL FOR MASS CUSTOMISATION PRODUCTION SYSTEMS |
title_sort |
multi-stage optimisation method for the management of an on-demand fixture manufacturing cell for mass customisation production systems |
publisher |
Stellenbosch University |
series |
South African Journal of Industrial Engineering |
issn |
1012-277X 2224-7890 |
publishDate |
2018-08-01 |
description |
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. |
topic |
mass customisation reconfigurable fixtures scheduling and optimisation cellular manufacturing systems cluster analysis mixed integer linear programming |
url |
http://sajie.journals.ac.za/pub/article/view/1824 |
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