Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/106815
DC Field | Value | Language |
---|---|---|
dc.contributor | Faculty of Business | - |
dc.creator | Wang, W | - |
dc.creator | Wang, S | - |
dc.creator | Zhen, L | - |
dc.creator | Laporte, G | - |
dc.date.accessioned | 2024-06-04T07:39:56Z | - |
dc.date.available | 2024-06-04T07:39:56Z | - |
dc.identifier.issn | 0191-2615 | - |
dc.identifier.uri | http://hdl.handle.net/10397/106815 | - |
dc.language.iso | en | en_US |
dc.publisher | Elsevier Ltd | en_US |
dc.subject | Autonomous ship | en_US |
dc.subject | Benders decomposition | en_US |
dc.subject | Branch-and-cut | en_US |
dc.subject | Sample average approximation | en_US |
dc.subject | Shipping company operations | en_US |
dc.title | The impact of autonomous ships in regional waterways | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.volume | 178 | - |
dc.identifier.doi | 10.1016/j.trb.2023.102851 | - |
dcterms.abstract | Technological innovation has been reshaping all walks of life, and the marine shipping industry is no exception. Autonomous vessels have gained significant attention due to their numerous advantages. However, regulatory constraints and expensive manufacturing costs are impeding the application of autonomous vessels. To overcome these challenges, this research conducts experiments with autonomous ships on national waterways with less regulation and develops a model to investigate their impact on shipping company operations. The model simultaneously optimizes ship routing, fleet sizing, fleet deployment, and demand fulfillment, taking into account demand uncertainty. Two solution methods, i.e., sample average approximation and a two-phase Benders-based branch-and-cut algorithm, are proposed to solve the problem with acceleration strategies, including column generation and variable fixing. The performance of several solution techniques is tested through numerical experiments using real-world data. Besides, sensitivity analyses are conducted to further discuss the influence of key factors and derive constructive managerial insights for shipping companies. | - |
dcterms.accessRights | embargoed access | en_US |
dcterms.bibliographicCitation | Transportation research. Part B, Methodological, Dec. 2023, v. 178, 102851 | - |
dcterms.isPartOf | Transportation research. Part B, Methodological | - |
dcterms.issued | 2023-12 | - |
dc.identifier.scopus | 2-s2.0-85175338708 | - |
dc.identifier.eissn | 1879-2367 | - |
dc.identifier.artn | 102851 | - |
dc.description.validate | 202406 bcch | - |
dc.identifier.FolderNumber | a2751 | en_US |
dc.identifier.SubFormID | 48231 | en_US |
dc.description.fundingSource | RGC | en_US |
dc.description.fundingSource | Others | en_US |
dc.description.fundingText | National Natural Science Foundation of China | en_US |
dc.description.pubStatus | Published | en_US |
dc.date.embargo | 2025-12-31 | en_US |
dc.description.oaCategory | Green (AAM) | en_US |
Appears in Collections: | Journal/Magazine Article |
Page views
5
Citations as of Jun 30, 2024
SCOPUSTM
Citations
2
Citations as of Jun 21, 2024
WEB OF SCIENCETM
Citations
1
Citations as of Jun 27, 2024
![](/image/google_scholar.jpg)
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.