Minimax regret model for liner shipping fleet deployment with uncertain demand

Wang, S; Liu, Z; Qu, X

Minimax regret model for liner shipping fleet deployment with uncertain demand

Wang, S Liu, Z Qu, X

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Publication Type:: Journal Article
Citation:: Transportation Research Record, 2016, 2549 pp. 45 - 53
Issue Date:: 2016-01-01

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Field	Value	Language
dc.contributor.author	Wang, S	en_US
dc.contributor.author	Liu, Z	en_US
dc.contributor.author	Qu, X https://orcid.org/0000-0003-0973-3756	en_US
dc.date.issued	2016-01-01	en_US
dc.identifier.citation	Transportation Research Record, 2016, 2549 pp. 45 - 53	en_US
dc.identifier.issn	0361-1981	en_US
dc.identifier.uri	http://hdl.handle.net/10453/118496
dc.description.abstract	© 2016, National Research Council. All rights reserved. This paper proposes a minimax regret model for liner shipping fleet deployment with uncertain demand. The minimax regret model does not need the probability distribution function of the demand, and the model is consistent with how network planners are evaluated. However, the model is large because of the incorporation of all possible demand scenarios. A dynamic scenario inclusion method is proposed for efficiently solving the minimax model with only a small subset of the demand scenarios. A case study based on an Asia-Europe-Oceania liner shipping network demonstrates the applicability of the proposed model and method.	en_US
dc.relation.ispartof	Transportation Research Record	en_US
dc.relation.isbasedon	10.3141/2549-06	en_US
dc.subject.classification	Logistics & Transportation	en_US
dc.title	Minimax regret model for liner shipping fleet deployment with uncertain demand	en_US
dc.type	Journal Article
utslib.citation.volume	2549	en_US
utslib.for	0905 Civil Engineering	en_US
utslib.for	1205 Urban and Regional Planning	en_US
utslib.for	1507 Transportation and Freight Services	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	closed_access
pubs.publication-status	Published	en_US
pubs.volume	2549	en_US

Abstract:

© 2016, National Research Council. All rights reserved. This paper proposes a minimax regret model for liner shipping fleet deployment with uncertain demand. The minimax regret model does not need the probability distribution function of the demand, and the model is consistent with how network planners are evaluated. However, the model is large because of the incorporation of all possible demand scenarios. A dynamic scenario inclusion method is proposed for efficiently solving the minimax model with only a small subset of the demand scenarios. A case study based on an Asia-Europe-Oceania liner shipping network demonstrates the applicability of the proposed model and method.

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http://hdl.handle.net/10453/118496