郭子坚Guo Zijian

(教授)

 博士生导师  硕士生导师
学位:博士
性别:男
毕业院校:日本大学大学院
所在单位:水利工程系
电子邮箱:zjguo@dlut.edu.cn

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A stochastic seaport network retrofit management problem considering shipping routing design

发表时间:2019-03-09 点击次数:

论文名称:A stochastic seaport network retrofit management problem considering shipping routing design
论文类型:期刊论文
发表刊物:OCEAN & COASTAL MANAGEMENT
收录刊物:SCIE、EI
卷号:119
页面范围:169-176
ISSN号:0964-5691
关键字:Seaport management; Stochastic programming; Network retrofit; Shipping routing design
摘要:Seaports are exposed to various uncertain disasters caused by natural or human factors, which have multi-dimensional impacts on the economy. Retrofit appears as one of the effective mitigation methods to protect the seaport network and to reduce the post-disaster loss in the port management engineering. The post-disaster loss is quantified by replacement or repair cost of the structural damage and travel delay loss of vessels. Therefore, given a set of seaports, this paper aims to provide solutions for which seaports should be retrofitted in order to minimize the damage loss due to unpredictable disasters. We first present a network representation of a seaport shipping network. Based on the network, a two-stage stochastic programming model is formulated with a sub-model of the shipping routing design. Benders decomposition method is then used to solve the mixed-integer non-linear problem. Finally, we apply the two-stage model to solve the retrofit problem of eight mainline seaports in China Mainland. The real-time case study shows that the proposed model is efficient to get good solutions. (C) 2015 Elsevier Ltd. All rights reserved.
发表时间:2016-01-01