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Extrusion press optimisation

Mini Dissertation (BEng)--University of Pretoria, 2016.

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Other Authors: Van Heerden, Quintin
Format: Thesis
Language:English
Published: University of Pretoria 2017
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access_status_str Open Access
author2 Van Heerden, Quintin
author_browse Van Heerden, Quintin
author_facet Van Heerden, Quintin
collection Thesis
dc_rights_str_mv © 2017 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria.
description Mini Dissertation (BEng)--University of Pretoria, 2016.
format Thesis
id oai:repository.up.ac.za:2263/62865
institution University of Pretoria (South Africa)
language English
last_indexed 2026-06-10T12:37:20.380Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository
publishDate 2017
publishDateRange 2017
publishDateSort 2017
publisher University of Pretoria
publisherStr University of Pretoria
record_format dspace
source_str UPSpace — University of Pretoria Institutional Repository
spelling oai:repository.up.ac.za:2263/62865 Extrusion press optimisation Van Heerden, Quintin Botha, J. (Janelle) UCTD Mini Dissertation (BEng)--University of Pretoria, 2016. Wispeco is a leading aluminium extrusion company situated in Alberton. The direct aluminium extrusion process is a hot deformation process that produces aluminium profiles. A press is the machine used to transform a solid aluminium log into an aluminium product. This projects aims to increase the output of the company. The results of the production on the presses will be determined by a scheduling model. An Operational Research model is created to develop a production schedule for the presses. This model has multiple objective functions to maximize the output and to minimize costs. This problem is classified as an NP-Hard problem and will have to use a metaheuristics model to solve it. A simulated annealing algorithm was developed to ensure the model will obtain able to obtain a high quality solution within a reasonable amount of time. This model will improve the production plan of the extrusion presses. This model can also be used to indicate if moving the problem dies to the smaller press will increase the output. This algorithm will develop the best schedule with regards to the cost of the production. Different scenarios can easily be compared with each other with the use of this algorithm, for example, the purchase of new presses. This schedule indicates the change in the production time and the impact on the cost of the production. Industrial and Systems Engineering BEng (Industrial) Unrestricted 2017-10-23T08:55:37Z 2017-10-23T08:55:37Z 2017 2016 Mini Dissertation Botha, J 2016, Extrusion press optimisation, BEng (Industrial) Mini Dissertation, University of Pretoria, Pretoria, viewed yymmdd <http://hdl.handle.net/2263/62865> http://hdl.handle.net/2263/62865 en © 2017 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. application/pdf University of Pretoria
spellingShingle UCTD
Extrusion press optimisation
title Extrusion press optimisation
title_full Extrusion press optimisation
title_fullStr Extrusion press optimisation
title_full_unstemmed Extrusion press optimisation
title_short Extrusion press optimisation
title_sort extrusion press optimisation
topic UCTD
url http://hdl.handle.net/2263/62865