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Peng Yun

Associate Professor
Supervisor of Master's Candidates

Academic Titles:
Alma Mater:大连理工大学
Degree:Doctoral Degree
Status:On the job
Discipline:Port, Coastal and Offshore Engineering
Business Address:综合实验三号楼410
Contact Information:041184707174
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A stochastic seaport network retrofit management problem considering shipping routing design

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Indexed by:Journal Papers

First Author:Peng, Yun

Correspondence Author:Wang, WY (reprint author), Dalian Univ Technol, Fac Infrastruct Engn, Dalian 116023, Peoples R China.

Co-authors:Wang, Wenyuan,Guo, Zijian,Song, Xiangqun,Zhang, Qi

Date of Publication:2016-01-01


Included Journals:EI、SCIE


Page Number:169-176

ISSN No.:0964-5691

Key Words:Seaport management; Stochastic programming; Network retrofit; Shipping routing design

Abstract: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.