DC Field | Value | Language |
---|---|---|
dc.contributor.author | LEE, KANGBOK | - |
dc.contributor.author | Hong, Juntaek | - |
dc.date.accessioned | 2019-04-08T05:30:35Z | - |
dc.date.available | 2019-04-08T05:30:35Z | - |
dc.date.created | 2019-03-08 | - |
dc.date.issued | 2018-11-05 | - |
dc.identifier.uri | https://oasis.postech.ac.kr/handle/2014.oak/97392 | - |
dc.description.abstract | We consider a problem of scheduling independent jobs on parallel machines to minimize the total completion time. Each job has a given release date and a set of eligible machines, and all jobs have equal processing times. For the problem with a fixed number of machines, we show its computational complexity of the problem by providing a polynomial time dynamic programming algorithm. For the problem with an arbitrary number of machines, we propose approximation algorithms and they are evaluated by worst-case analysis and numerical experiments. | - |
dc.language | English | - |
dc.publisher | INFORMS | - |
dc.relation.isPartOf | INFORMS annual meeting 2018 | - |
dc.relation.isPartOf | INFORMS annual meeting 2018 | - |
dc.title | A Parallel Machine Scheduling Problem with Release Dates, Equal Processing Times, and Eligibility Constraints | - |
dc.type | Conference | - |
dc.type.rims | CONF | - |
dc.identifier.bibliographicCitation | INFORMS annual meeting 2018 | - |
dc.citation.conferenceDate | 2018-11-04 | - |
dc.citation.conferencePlace | US | - |
dc.citation.conferencePlace | Phoenix | - |
dc.citation.title | INFORMS annual meeting 2018 | - |
dc.contributor.affiliatedAuthor | LEE, KANGBOK | - |
dc.contributor.affiliatedAuthor | Hong, Juntaek | - |
dc.description.journalClass | 1 | - |
dc.description.journalClass | 1 | - |
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