Fleet deployment in liner shipping with incomplete demand information

Man Wo Ng; Dung Ying Lin

doi:10.1016/j.tre.2018.06.004

Fleet deployment in liner shipping with incomplete demand information

Man Wo Ng
, Dung Ying Lin

交通管理科學系

研究成果: Article › 同行評審

26 引文斯高帕斯（Scopus）

摘要

This paper examines the liner fleet deployment problem when only conditional shipping demand information is known. For such a case, it is generally not possible to determine the exact optimal solution. A set of complementary upper and lower bounds on the optimal cost are derived by exploiting the problem structure. These bounds are explicitly shown to converge to the optimal cost when a sufficiently refined partition is available. A numerical example illustrates the model.

原文	English
頁（從 - 到）	184-189
頁數	6
期刊	Transportation Research Part E: Logistics and Transportation Review
卷	116
DOIs	https://doi.org/10.1016/j.tre.2018.06.004
出版狀態	Published - 2018 8月

All Science Journal Classification (ASJC) codes

商業與國際管理
土木與結構工程
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10.1016/j.tre.2018.06.004

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N2 - This paper examines the liner fleet deployment problem when only conditional shipping demand information is known. For such a case, it is generally not possible to determine the exact optimal solution. A set of complementary upper and lower bounds on the optimal cost are derived by exploiting the problem structure. These bounds are explicitly shown to converge to the optimal cost when a sufficiently refined partition is available. A numerical example illustrates the model.

AB - This paper examines the liner fleet deployment problem when only conditional shipping demand information is known. For such a case, it is generally not possible to determine the exact optimal solution. A set of complementary upper and lower bounds on the optimal cost are derived by exploiting the problem structure. These bounds are explicitly shown to converge to the optimal cost when a sufficiently refined partition is available. A numerical example illustrates the model.

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JO - Transportation Research Part E: Logistics and Transportation Review

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ER -

Fleet deployment in liner shipping with incomplete demand information

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