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 |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Wang_Optimization_Analytics_Maritime.pdf | Pre-Published version | 159.06 kB | Adobe PDF | View/Open |
Access
View full-text via PolyU eLinks 
Page views
101
Citations as of Nov 10, 2025
Downloads
50
Citations as of Nov 10, 2025
SCOPUSTM
Citations
2
Citations as of Dec 19, 2025
WEB OF SCIENCETM
Citations
1
Citations as of Dec 18, 2025
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.