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Reentrant permutation flowshop scheduling with a deteriorating schedule

Dissertation (MEng (Industrial Engineering))--University of Pretoria, 2021.

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Other Authors: Adetunji, Olufemi
Format: Thesis
Language:English
Published: University of Pretoria 2021
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access_status_str Open Access
author2 Adetunji, Olufemi
author_browse Adetunji, Olufemi
author_facet Adetunji, Olufemi
collection Thesis
dc_rights_str_mv © 2019 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 Dissertation (MEng (Industrial Engineering))--University of Pretoria, 2021.
format Thesis
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institution University of Pretoria (South Africa)
language English
last_indexed 2026-06-10T12:39:12.360Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository
publishDate 2021
publishDateRange 2021
publishDateSort 2021
publisher University of Pretoria
publisherStr University of Pretoria
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source_str UPSpace — University of Pretoria Institutional Repository
spelling oai:repository.up.ac.za:2263/78077 Reentrant permutation flowshop scheduling with a deteriorating schedule Adetunji, Olufemi makgobamatsebe@gmail.com Makgoba, Matsebe Juliet Reentrant flow shop Deteriorating schedule Makespan minimisation NEH Algorithm Genetic Algorithm UCTD Dissertation (MEng (Industrial Engineering))--University of Pretoria, 2021. The classic flow shop problem assumes that jobs make only single passes through the processing machines and that the processing times are not affected by the length of the delay before jobs are processed. These assumptions are being relaxed in recent papers that consider reentrance problems and those with schedule deterioration. In this study, these two assumptions are both relaxed, and a model of a reentrant flowshop with a deteriorating schedule is considered. A linear programming formulation of the problem is first presented. Three solution heuristics are considered under different deterioration scenarios. It was observed that both Nawaz Enscor and Ham (NEH) algorithm and Genetic Algorithm (GA) performed much better than the Campbell Dudek and Smith (CDS) algorithm. Overall, when considering both the quality of solution and computational time together, the NEH algorithm seems to have performed much better than the others as the size of problems increases. This model would find useful applications in some metallurgical and manufacturing processes where such problems are usually encountered. Industrial and Systems Engineering MEng (Industrial Engineering) Unrestricted 2021-01-21T08:17:24Z 2021-01-21T08:17:24Z 2021 2021 Dissertation * A2021 http://hdl.handle.net/2263/78077 en © 2019 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 Reentrant flow shop
Deteriorating schedule
Makespan minimisation
NEH Algorithm
Genetic Algorithm
UCTD
Reentrant permutation flowshop scheduling with a deteriorating schedule
title Reentrant permutation flowshop scheduling with a deteriorating schedule
title_full Reentrant permutation flowshop scheduling with a deteriorating schedule
title_fullStr Reentrant permutation flowshop scheduling with a deteriorating schedule
title_full_unstemmed Reentrant permutation flowshop scheduling with a deteriorating schedule
title_short Reentrant permutation flowshop scheduling with a deteriorating schedule
title_sort reentrant permutation flowshop scheduling with a deteriorating schedule
topic Reentrant flow shop
Deteriorating schedule
Makespan minimisation
NEH Algorithm
Genetic Algorithm
UCTD
url http://hdl.handle.net/2263/78077