Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/97611
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dc.contributorDepartment of Building and Real Estateen_US
dc.creatorAhmed, Een_US
dc.creatorElAbbasy, MSen_US
dc.creatorZayed, Ten_US
dc.creatorAlfalah, Gen_US
dc.creatorAlkass, Sen_US
dc.date.accessioned2023-03-07T06:34:45Z-
dc.date.available2023-03-07T06:34:45Z-
dc.identifier.issn0360-8352en_US
dc.identifier.urihttp://hdl.handle.net/10397/97611-
dc.language.isoenen_US
dc.publisherPergamon Pressen_US
dc.rights© 2021 Elsevier Ltd. All rights reserved.en_US
dc.rights© 2021. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/.en_US
dc.rightsThe following publication Ahmed, E., El-Abbasy, M. S., Zayed, T., Alfalah, G., & Alkass, S. (2021). Synchronized scheduling model for container terminals using simulated double-cycling strategy. Computers & Industrial Engineering, 154, 107118 is available at https://dx.doi.org/10.1016/j.cie.2021.107118.en_US
dc.subjectContainer Terminal Handlingen_US
dc.subjectDouble-Cyclingen_US
dc.subjectIntegrated Operationsen_US
dc.subjectProductivityen_US
dc.subjectSimulationen_US
dc.titleSynchronized scheduling model for container terminals using simulated double-cycling strategyen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume154en_US
dc.identifier.doi10.1016/j.cie.2021.107118en_US
dcterms.abstractGlobal ocean-based trade has been increasing significantly. To keep pace with this growth, a new generation of large vessels has been introduced to maximize shipping productivity. The primary goal of container terminals is to accelerate vessel turnaround time through effective coordination of the main handling components. This study proposes an efficient strategy to handle containers by employing double-cycling to minimize the number of empty travel trips of yard trucks. To verify the efficiency of the proposed strategy, two simulation models were developed and implemented based on a real-life case study considering uncertainties in the work task duration. The integrated single-cycling model predicted productivity with an accuracy rate of over 97%, compared with the actual site productivity. When compared to the standard single-cycling model, the double-cycling model enhanced productivity and reduced vessel turnaround time by up to 62% and 38%, respectively, and achieved cost savings of up to 27%.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationComputers and industrial engineering, Apr. 2021, v. 154, 107118en_US
dcterms.isPartOfComputers and industrial engineeringen_US
dcterms.issued2021-04-
dc.identifier.scopus2-s2.0-85100153975-
dc.identifier.eissn1879-0550en_US
dc.identifier.artn107118en_US
dc.description.validate202303 bcwwen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberBRE-0103-
dc.description.fundingSourceSelf-fundeden_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS54512818-
dc.description.oaCategoryGreen (AAM)en_US
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