Dynamic tugboat scheduling for container ports
Xiaoyang Wei,
Qiang Meng,
Andrew Lim and
Shuai Jia
Maritime Policy & Management, 2023, vol. 50, issue 4, 492-514
Abstract:
Tugboat service is important for maintaining the safety and efficiency of ship movements in container ports. In practice, requests for tugboat service are not fully known when the planning horizon begins, but continually revealed while the existing tugboat scheduling is being performed. Thus, a tangible method is required to schedule tugboats to fulfill the continually arrived requests. However, there is no study on addressing this issue. Thus, we propose a dynamic tugboat scheduling problem, formulate the problem mathematically, and develop a tailored solution method that dynamically updates tugboat scheduling as new service requests arrive, so as to minimize the tugboat operation cost of whole planning horizon. We evaluate the effectiveness of the proposed solution method by comparing it with a benchmark method, and show that the solution method is able to achieve satisfactory performance within a reasonable computation time. In addition, we investigate managerial insights via computational experiments on a variety of instances created based on real-life container port operations.
Date: 2023
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/03088839.2021.1953175 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:marpmg:v:50:y:2023:i:4:p:492-514
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/TMPM20
DOI: 10.1080/03088839.2021.1953175
Access Statistics for this article
Maritime Policy & Management is currently edited by Dr Kevin Li and Heather Leggate McLaughlin
More articles in Maritime Policy & Management from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().