更多
论文成果
A stochastic seaport network retrofit management problem considering shipping routing design
点击次数:
论文类型: 期刊论文
发表时间: 2016-01-01
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.

宋向群

教授   博士生导师   硕士生导师

性别: 女

毕业院校:大连工学院

学位: 硕士

所在单位:水利工程系

电子邮箱:sxqun@dlut.edu.cn

辽ICP备05001357号 地址:中国·辽宁省大连市甘井子区凌工路2号 邮编:116024
版权所有:大连理工大学
访问量: 手机版 English 大连理工大学 登录

开通时间:..

最后更新时间:..