Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/80097
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dc.contributorDepartment of Management and Marketing-
dc.contributorDepartment of Industrial and Systems Engineering-
dc.creatorHuang, M-
dc.creatorWu, H-
dc.creatorCho, V-
dc.creatorIp, WH-
dc.creatorWang, X-
dc.creatorNg CK-
dc.date.accessioned2018-12-21T07:14:55Z-
dc.date.available2018-12-21T07:14:55Z-
dc.identifier.issn1110-757X-
dc.identifier.urihttp://hdl.handle.net/10397/80097-
dc.language.isoenen_US
dc.publisherHindawi Publishing Corporationen_US
dc.rightsCopyright © 2013 M. Huang et al. This is an open access article distributed under the Creative Commons Attribution License (https://creativecommons.org/licenses/by/3.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.en_US
dc.rightsThe following publication Huang, M., Wu, H., Cho, V., Ip, W. H., Wang, X., & Ng, C. K. (2013). Single machine problem with multi-rate-modifying activities under a time-dependent deterioration. Journal of Applied Mathematics, 2013, 135610, 1-10 is available at https://dx.doi.org/10.1155/2013/135610en_US
dc.titleSingle machine problem with multi-rate-modifying activities under a time-dependent deteriorationen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage1-
dc.identifier.volume2013-
dc.identifier.doi10.1155/2013/135610-
dcterms.abstractThe single machine scheduling problem with multi-rate-modifying activities under a time-dependent deterioration to minimize makespan is studied. After examining the characteristics of the problem, a number of properties and a lower bound are proposed. A branch and bound algorithm and a heuristic algorithm are used in the solution, and two special cases are also examined. The computational experiments show that, for the situation with a rate-modifying activity, the proposed branch and bound algorithm can solve situations with 50 jobs within a reasonable time, and the heuristic algorithm can obtain the near-optimal solution with an error percentage less than 0.053 in a very short time. In situations with multi-rate-modifying activities, the proposed branch and bound algorithm can solve the case with 15 jobs within a reasonable time, and the heuristic algorithm can obtain the near-optimal with an error percentage less than 0.070 in a very short time. The branch and bound algorithm and the heuristic algorithm are both shown to be efficient and effective.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationJournal of applied mathematics, 2013, v. 2013, 135610, p. 1-10-
dcterms.isPartOfJournal of applied mathematics-
dcterms.issued2013-
dc.identifier.scopus2-s2.0-84879314889-
dc.identifier.eissn1687-0042-
dc.identifier.artn135610-
dc.description.validate201812 bcrc-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
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