Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/98837
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Title: Minimax Regret Model for Liner Shipping Fleet Deployment with Uncertain Demand
Authors: Wang, SA 
Liu, ZY
Qu, XB
Issue Date: Jan-2016
Source: Transportation research record : journal of the Transportation Research Board, Jan. 2016. v. 2549, no. 1, p. 45-53
Abstract: 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.
Publisher: U.S. National Research Council, Transportation Research Board
Journal: Transportation research record : journal of the Transportation Research Board 
ISSN: 0361-1981
DOI: 10.3141/2549-06
Rights: This is the accepted version of the publication Wang, S., Liu, Z., & Qu, X., Minimax regret model for liner shipping fleet deployment with uncertain demand, Transportation Research Record (Volume 2549, Issue 1) pp.45-53. Copyright © 2016 (National Academy of Sciences). DOI: 10.3141/2549-06
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