Liner ship fleet deployment with uncertain demand

Wang, S; Wang, T; Qu, X; Liu, Z; Jin, S

Liner ship fleet deployment with uncertain demand

Wang, S Wang, T Qu, X

Liu, Z Jin, S

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Publication Type:: Journal Article
Citation:: Transportation Research Record, 2014, (2409), pp. 49 - 53
Issue Date:: 2014-01-01

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Field	Value	Language
dc.contributor.author	Wang, S	en_US
dc.contributor.author	Wang, T	en_US
dc.contributor.author	Qu, X https://orcid.org/0000-0003-0973-3756	en_US
dc.contributor.author	Liu, Z	en_US
dc.contributor.author	Jin, S	en_US
dc.date.issued	2014-01-01	en_US
dc.identifier.citation	Transportation Research Record, 2014, (2409), pp. 49 - 53	en_US
dc.identifier.issn	0361-1981	en_US
dc.identifier.uri	http://hdl.handle.net/10453/119047
dc.description.abstract	This paper points out that the deployment problem of the liner ship fleet with uncertain demand is different from other logistics problems with uncertain demand (e.g., truck transport and airlines) because container ships operate 24 h a day and 7 days a week. This difference is largely ignored in the literature. To address this problem, a multi-level optimization model is developed. In addition to liner ship fleet deployment, the model is applicable to other liner shipping decision problems, such as network design with uncertain demand, and to port operations planning problems, such as berth planning with uncertain ship arrival times.	en_US
dc.relation.ispartof	Transportation Research Record	en_US
dc.relation.isbasedon	10.3141/2409-07	en_US
dc.subject.classification	Logistics & Transportation	en_US
dc.title	Liner ship fleet deployment with uncertain demand	en_US
dc.type	Journal Article
utslib.citation.volume	2409	en_US
utslib.for	0905 Civil Engineering	en_US
utslib.for	1507 Transportation and Freight Services	en_US
utslib.for	1205 Urban and Regional Planning	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Civil and Environmental Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CBI - Centre for Built Infrastructure
pubs.organisational-group	/University of Technology Sydney/Strength - CRIN - Realtime Information Networks
utslib.copyright.status	open_access
pubs.issue	2409	en_US
pubs.publication-status	Published	en_US

Abstract:

This paper points out that the deployment problem of the liner ship fleet with uncertain demand is different from other logistics problems with uncertain demand (e.g., truck transport and airlines) because container ships operate 24 h a day and 7 days a week. This difference is largely ignored in the literature. To address this problem, a multi-level optimization model is developed. In addition to liner ship fleet deployment, the model is applicable to other liner shipping decision problems, such as network design with uncertain demand, and to port operations planning problems, such as berth planning with uncertain ship arrival times.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/119047