Data-driven optimization and analytics for maritime logistics

Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/98987

Title:	Data-driven optimization and analytics for maritime logistics
Authors:	Fagerholt, K Heilig, L Lalla-Ruiz, E Meisel, F Wang, S
Issue Date:	Mar-2023
Source:	Flexible services and manufacturing journal, Mar. 2023, v. 35, no. 1, p. 1-4
Publisher:	Springer
Journal:	Flexible services and manufacturing journal
ISSN:	1936-6582
DOI:	10.1007/s10696-023-09487-w
Rights:	© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023 This 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.
Appears in Collections:	Journal/Magazine Article

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Status	open access
File Version	Final Accepted Manuscript

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