Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Hung, Hui-Chih | en_US |
dc.contributor.author | Lin, Bertrand M. T. | en_US |
dc.contributor.author | Posner, Marc E. | en_US |
dc.contributor.author | Wei, Jun-Min | en_US |
dc.date.accessioned | 2019-08-02T02:15:29Z | - |
dc.date.available | 2019-08-02T02:15:29Z | - |
dc.date.issued | 2019-08-01 | en_US |
dc.identifier.issn | 1094-6136 | en_US |
dc.identifier.uri | http://dx.doi.org/10.1007/s10951-018-0584-y | en_US |
dc.identifier.uri | http://hdl.handle.net/11536/152186 | - |
dc.description.abstract | This paper investigates the classical preemptive parallel-machine scheduling problem of maximizing number of on-time jobs. While the problem is known to be NP-hard, no theoretical analysis of approximation algorithms exists in the literature. As part of the analysis, a new non-standard mixed integer formulation is developed. We propose heuristics based on different design strategies. These heuristics have asymptotically tight relative errors of 1/2. Experimental tests evaluate the computational performance of the procedures. | en_US |
dc.language.iso | en_US | en_US |
dc.subject | Parallel-machine scheduling | en_US |
dc.subject | Number of tardy jobs | en_US |
dc.subject | Preemption | en_US |
dc.subject | Mixed integer program | en_US |
dc.subject | Heuristic performance analysis | en_US |
dc.title | Preemptive parallel-machine scheduling problem of maximizing the number of on-time jobs | en_US |
dc.type | Article | en_US |
dc.identifier.doi | 10.1007/s10951-018-0584-y | en_US |
dc.identifier.journal | JOURNAL OF SCHEDULING | en_US |
dc.citation.volume | 22 | en_US |
dc.citation.issue | 4 | en_US |
dc.citation.spage | 413 | en_US |
dc.citation.epage | 431 | en_US |
dc.contributor.department | 工業工程與管理學系 | zh_TW |
dc.contributor.department | 資訊管理與財務金融系 註:原資管所+財金所 | zh_TW |
dc.contributor.department | Department of Industrial Engineering and Management | en_US |
dc.contributor.department | Department of Information Management and Finance | en_US |
dc.identifier.wosnumber | WOS:000472217100003 | en_US |
dc.citation.woscount | 0 | en_US |
Appears in Collections: | Articles |