Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/98987
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dc.contributorDepartment of Logistics and Maritime Studiesen_US
dc.creatorFagerholt, Ken_US
dc.creatorHeilig, Len_US
dc.creatorLalla-Ruiz, Een_US
dc.creatorMeisel, Fen_US
dc.creatorWang, Sen_US
dc.date.accessioned2023-06-08T01:08:31Z-
dc.date.available2023-06-08T01:08:31Z-
dc.identifier.issn1936-6582en_US
dc.identifier.urihttp://hdl.handle.net/10397/98987-
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.rights© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023en_US
dc.rightsThis version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use (https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms), but is not the Version of Record and does not reflect postacceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/s10696-023-09487-w.en_US
dc.titleData-driven optimization and analytics for maritime logisticsen_US
dc.typeEditorial/Preface (Journal)en_US
dc.identifier.spage1en_US
dc.identifier.epage4en_US
dc.identifier.volume35en_US
dc.identifier.issue1en_US
dc.identifier.doi10.1007/s10696-023-09487-wen_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationFlexible services and manufacturing journal, Mar. 2023, v. 35, no. 1, p. 1-4en_US
dcterms.isPartOfFlexible services and manufacturing journalen_US
dcterms.issued2023-03-
dc.identifier.scopus2-s2.0-85148514644-
dc.description.validate202306 bckwen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumbera2091-
dc.identifier.SubFormID46549-
dc.description.fundingSourceSelf-fundeden_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryGreen (AAM)en_US
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