Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/98313
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dc.contributorMainland Development Officeen_US
dc.contributorDepartment of Logistics and Maritime Studiesen_US
dc.creatorChen, Jen_US
dc.creatorWang, Sen_US
dc.creatorLiu, Zen_US
dc.creatorGuo, Yen_US
dc.date.accessioned2023-04-27T01:04:43Z-
dc.date.available2023-04-27T01:04:43Z-
dc.identifier.issn1366-5545en_US
dc.identifier.urihttp://hdl.handle.net/10397/98313-
dc.language.isoenen_US
dc.publisherPergamon Pressen_US
dc.rights© 2018 Elsevier Ltd. All rights reserved.en_US
dc.rights© 2018. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/.en_US
dc.rightsThe following publication Chen, J., Wang, S., Liu, Z., & Guo, Y. (2018). Network-based optimization modeling of manhole setting for pipeline transportation. Transportation research part E: logistics and transportation review, 113, 38-55 is available at https://doi.org/10.1016/j.tre.2018.01.010.en_US
dc.subjectManhole settingen_US
dc.subjectPipeline transportationen_US
dc.subjectTopological sorten_US
dc.titleNetwork-based optimization modeling of manhole setting for pipeline transportationen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage38en_US
dc.identifier.epage55en_US
dc.identifier.volume113en_US
dc.identifier.doi10.1016/j.tre.2018.01.010en_US
dcterms.abstractThis study proposes a network-based methodology for the optimization of manhole setting problem, which is a key component of pipeline transportation. The objective is to minimize the total social cost which involves the construction cost and the maintenance cost including the negative impact of manholes on the ground transportation. We first consider a special model which is efficiently solved by a topological sort-based approach. Later, we build a generic model and prove it to be NP-hard. A metaheuristic method is developed to obtain good-quality solutions. Finally, the models and solution methods are validated by numerical examples.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationTransportation research. Part E, Logistics and transportation review, May 2018, v. 113, p. 38-55en_US
dcterms.isPartOfTransportation research. Part E, Logistics and transportation reviewen_US
dcterms.issued2018-05-
dc.identifier.scopus2-s2.0-85043456085-
dc.identifier.eissn1878-5794en_US
dc.description.validate202304 bckwen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberLMS-0312-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextNational Natural Science Foundation of Chinaen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS6827099-
dc.description.oaCategoryGreen (AAM)en_US
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