Clustering and Dispatching Rule Selection Framework for Batch Scheduling
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Ahn, Gilseung | - |
dc.contributor.author | Hur, Sun | - |
dc.date.accessioned | 2021-06-22T09:09:52Z | - |
dc.date.available | 2021-06-22T09:09:52Z | - |
dc.date.issued | 2020-01 | - |
dc.identifier.issn | 2227-7390 | - |
dc.identifier.issn | 2227-7390 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/1408 | - |
dc.description.abstract | In this study, a batch scheduling with job grouping and batch sequencing is considered. A clustering algorithm and dispatching rule selection model is developed to minimize total tardiness. The model and algorithm are based on the constrained k-means algorithm and neural network. We also develop a method to generate a training dataset from historical data to train the neural network. We use numerical examples to demonstrate that the proposed algorithm and model efficiently and effectively solve batch scheduling problems. | - |
dc.format.extent | 14 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | MDPI | - |
dc.title | Clustering and Dispatching Rule Selection Framework for Batch Scheduling | - |
dc.type | Article | - |
dc.publisher.location | 스위스 | - |
dc.identifier.doi | 10.3390/math8010080 | - |
dc.identifier.scopusid | 2-s2.0-85080136845 | - |
dc.identifier.wosid | 000515730100069 | - |
dc.identifier.bibliographicCitation | MATHEMATICS, v.8, no.1, pp 1 - 14 | - |
dc.citation.title | MATHEMATICS | - |
dc.citation.volume | 8 | - |
dc.citation.number | 1 | - |
dc.citation.startPage | 1 | - |
dc.citation.endPage | 14 | - |
dc.type.docType | Article | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Mathematics | - |
dc.relation.journalWebOfScienceCategory | Mathematics | - |
dc.subject.keywordPlus | READY TIMES | - |
dc.subject.keywordPlus | FLOW-SHOP | - |
dc.subject.keywordPlus | JOBS | - |
dc.subject.keywordAuthor | batch scheduling | - |
dc.subject.keywordAuthor | dispatching rule | - |
dc.subject.keywordAuthor | neural networks | - |
dc.subject.keywordAuthor | constrained k-means algorithm | - |
dc.identifier.url | https://www.mdpi.com/2227-7390/8/1/80 | - |
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