Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 허선 | - |
dc.date.accessioned | 2021-07-28T06:13:52Z | - |
dc.date.available | 2021-07-28T06:13:52Z | - |
dc.date.issued | 2020-01 | - |
dc.identifier.citation | MATHEMATICS, v. 8, issue. 1, Article no. 80, 14pp | en_US |
dc.identifier.issn | 2227-7390 | - |
dc.identifier.uri | https://www.mdpi.com/2227-7390/8/1/80/htm | - |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/163297 | - |
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. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | MDPI | en_US |
dc.title | Clustering and Dispatching Rule Selection Framework for Batch Scheduling | en_US |
dc.type | Article | en_US |
dc.relation.no | 1 | - |
dc.relation.volume | 8 | - |
dc.identifier.doi | 10.3390/math8010080 | - |
dc.relation.page | 1-14 | - |
dc.relation.journal | MATHEMATICS | - |
dc.contributor.googleauthor | Ahn, Gilseung | - |
dc.contributor.googleauthor | Hur, Sun | - |
dc.relation.code | 2020047404 | - |
dc.sector.campus | E | - |
dc.sector.daehak | COLLEGE OF ENGINEERING SCIENCES[E] | - |
dc.sector.department | DEPARTMENT OF INDUSTRIAL AND MANAGEMENT ENGINEERING | - |
dc.identifier.pid | hursun | - |
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