Dziurzanski, Piotr, Zhao, Shuai, Scholze, Sebastian et al. (3 more authors) (2020) Process Planning and Scheduling Optimisation with Alternative Recipes. at - Automatisierungstechnik. ISSN 2196-677X
Abstract
This paper considers an application of a new variant of a multi-objective flexible job-shop scheduling problem, featuring multisubset selection of manufactured recipes, to a real-world chemical plant. The problem is optimised using a multi-objective genetic algorithm with customised mutation and elitism operators that minimises both the total production time and the produced commodity surplus. The algorithm evaluation is performed with both random and historic manufacturing orders. The latter demonstrated that the proposed system can lead to more than 10\% makespan improvements in comparison with human operators.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2020 Walter de Gruyter GmbH, Berlin/Boston. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details |
Keywords: | Multi-objective job-shop scheduling,Process manufacturing optimisation,Multi-objective genetic algorithms |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Computer Science (York) |
Depositing User: | Pure (York) |
Date Deposited: | 30 Mar 2020 16:10 |
Last Modified: | 06 Feb 2025 00:09 |
Published Version: | https://doi.org/10.1515/auto-2019-0104 |
Status: | Published |
Refereed: | Yes |
Identification Number: | 10.1515/auto-2019-0104 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:158917 |
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Description: [at - Automatisierungstechnik] Process planning and scheduling optimisation with alternative recipes (1)