Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/99079
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dc.contributorDepartment of Logistics and Maritime Studiesen_US
dc.creatorZhen, Len_US
dc.creatorGao, Jen_US
dc.creatorTan, Zen_US
dc.creatorWang, Sen_US
dc.creatorBaldacci, Ren_US
dc.date.accessioned2023-06-14T01:00:10Z-
dc.date.available2023-06-14T01:00:10Z-
dc.identifier.issn2472-5854en_US
dc.identifier.urihttp://hdl.handle.net/10397/99079-
dc.language.isoenen_US
dc.publisherTaylor & Francisen_US
dc.rights© 2022 "IISE"en_US
dc.rightsThis is an Accepted Manuscript of an article published by Taylor & Francis in IISE Transactions on 13 May 2022 (published online), available at: http://www.tandfonline.com/10.1080/24725854.2022.2060535.en_US
dc.subjectBranch-price-and-cuten_US
dc.subjectCollaborative deliveryen_US
dc.subjectDronesen_US
dc.subjectRoute optimizationen_US
dc.titleBranch-price-and-cut for trucks and drones cooperative deliveryen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage en_US
dc.identifier.epage en_US
dc.identifier.volume en_US
dc.identifier.issue en_US
dc.identifier.doi10.1080/24725854.2022.2060535en_US
dcterms.abstractThe truck and drone-based cooperative model of delivery can improve the efficiency of last mile delivery, and has thus increasingly attracted attention in academia and from practitioners. In this study, we examine a vehicle routing problem and apply a cooperative form of delivery involving trucks and drones. We propose a mixed-integer programming model and a branch-price-and-cut-based exact algorithm to address this problem. To reduce the computation time, we design several acceleration strategies, including a combination of dynamic programming and calculus-based approximation for the pricing problem, and various effective inequalities for the restricted master problem. Numerical experiments are conducted to validate the effectiveness and efficiency of the proposed solution.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationIISE transactions, 2023, v. 55, no. 3, p. 271-287en_US
dcterms.isPartOfIISE transactionsen_US
dcterms.issued2023-
dc.identifier.scopus2-s2.0-85132627353-
dc.identifier.eissn2472-5862en_US
dc.identifier.artn en_US
dc.description.validate202306 bcwwen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumbera2096-
dc.identifier.SubFormID46567-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextThis research is supported by the National Natural Science Foundation of China (Grant numbers 72025103, 71831008, 72071173).en_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryGreen (AAM)en_US
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