Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/108508
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dc.contributorFaculty of Business-
dc.creatorKhatami, M-
dc.creatorSalehipour, A-
dc.creatorCheng, TCE-
dc.date.accessioned2024-08-19T01:58:49Z-
dc.date.available2024-08-19T01:58:49Z-
dc.identifier.issn0360-8352-
dc.identifier.urihttp://hdl.handle.net/10397/108508-
dc.language.isoenen_US
dc.publisherElsevier Ltden_US
dc.rights© 2023 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).en_US
dc.rightsThe following publication Khatami, M., Salehipour, A., & Cheng, T. C. E. (2023). Flow-shop scheduling with exact delays to minimize makespan. Computers & Industrial Engineering, 183, 109456 is available at https://doi.org/10.1016/j.cie.2023.109456.en_US
dc.subjectCoupled tasken_US
dc.subjectExact delaysen_US
dc.subjectFlow-shopen_US
dc.subjectPyramidal propertyen_US
dc.subjectSchedulingen_US
dc.titleFlow-shop scheduling with exact delays to minimize makespanen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume183-
dc.identifier.doi10.1016/j.cie.2023.109456-
dcterms.abstractThe flow-shop scheduling problem with exact delays is generalization of no-wait flow-shop scheduling in which an exact delay exists between the consecutive tasks of each job. The problem with distinct delays to minimize the makespan is strongly 𝑁𝑃-hard even for the two-machine case with unit execution time tasks. Providing polynomial-time solutions for special cases of the problem, we show that the two-machine permutation flow-shop case is solvable in 𝑂(𝑛log𝑛) time, while the case with more than two machines is strongly 𝑁𝑃-hard. We also show that the multi-machine case with delays following the ordered structure possesses the pyramidal-shaped property and propose an 𝑂(𝑛2)-time dynamic program to solve it. We further improve the time complexity of the solution algorithm to 𝑂(𝑛log𝑛) under certain conditions.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationComputers and industrial engineering, Sept 2023, v. 183, 109456-
dcterms.isPartOfComputers and industrial engineering-
dcterms.issued2023-09-
dc.identifier.scopus2-s2.0-85169596188-
dc.identifier.eissn1879-0550-
dc.identifier.artn109456-
dc.description.validate202408 bcch-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOSen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextHong Kong Polytechnic University under the Fung Yiu King- Wing Hang Bank Endowed Professorship in Business Administrationen_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
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