Zhao, Shuai, Dziurzanski, Piotr and Soares Indrusiak, Leandro orcid.org/0000-0002-9938-2920 (Accepted: 2019) Value-driven Manufacturing Planning using Cloud-based Evolutionary Optimisation. In: 10th International Conference on Manufacturing Science and Technology. , MYS (In Press)
Abstract
This paper considers manufacturing planning and scheduling of manufacturing orders whose value decreases over time. The value decrease is modelled with a so-called value curve. Two genetic-algorithm-based methods for multi-objective optimisation has been proposed, implemented and deployed to a cloud. The first proposed method allocates and schedules manufacturing of all the ordered elements optimising both the makespan and the total value, whereas the second method selects only the profitable orders for manufacturing. The proposed evolutionary optimisation has been performed for a set of real-world-inspired manufacturing orders. Both the methods yield a similar total value, but the latter method leads to a shorter makespan.
Metadata
Item Type: | Book Section |
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Authors/Creators: |
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Keywords: | cloud computing,evolutionary algorithms,value-based scheduling |
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: | 08 May 2019 08:30 |
Last Modified: | 06 Feb 2025 00:04 |
Status: | In Press |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:145712 |
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