Please use this identifier to cite or link to this item:
Title: Multi-period yard template planning in container terminals
Authors: Zhen, L
Xu, Z 
Wang, K
Ding, Y
Keywords: Maritime logistics
Port operation
Yard template
Container terminals
Issue Date: 2016
Publisher: Pergamon Press
Source: Transportation research. Part B, Methodological, Nov. 2016, v. 93, part B, p. 700-719 How to cite?
Journal: Transportation research. Part B, Methodological 
Abstract: This paper is about yard management in container ports. As a tactical level decision-making tool in a port, a yard template determines the assignment of spaces (subblocks) in a yard for arriving vessels, which visit the port periodically. The objective of yard template planning is to minimize the transportation cost of moving containers around the yard. To handle yard template planning, a mixed integer programming model is proposed that also takes into account traffic congestion in the yard. A further complication is that the cycle time of the vessels' periodicities is not uniform and varies among them, perhaps being one week, ten days, or two weeks, etc. However, this multiple cycle time of the periodicities of vessel arrival patterns, which complicates the yard template decision, is also considered in the model. Moreover, a local branching based solution method and a Particle Swarm Optimization based solution method are developed for solving the model. Numerical experiments are also conducted to validate the effectiveness of the proposed model, which can save around 24% of the transportation costs of yard trucks when compared with the commonly used First-Come-First-Served decision rule. Moreover, the proposed solution methods can not only solve the proposed model within a reasonable time, but also obtain near-optimal results with about 0.1-2% relative gap.
ISSN: 0191-2615
EISSN: 1879-2367
DOI: 10.1016/j.trb.2015.12.006
Appears in Collections:Journal/Magazine Article

View full-text via PolyU eLinks SFX Query
Show full item record


Last Week
Last month
Citations as of Feb 15, 2019


Last Week
Last month
Citations as of Feb 15, 2019

Page view(s)

Last Week
Last month
Citations as of Feb 17, 2019

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.