Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.ejor.2011.01.021
Title: A decision model for berth allocation under uncertainty
Authors: Zhen, L.
Lee, L.H. 
Chew, E.P. 
Keywords: Berth allocation
Container terminals
Meta-heuristic
Port operation
Scheduling
Issue Date: 1-Jul-2011
Source: Zhen, L., Lee, L.H., Chew, E.P. (2011-07-01). A decision model for berth allocation under uncertainty. European Journal of Operational Research 212 (1) : 54-68. ScholarBank@NUS Repository. https://doi.org/10.1016/j.ejor.2011.01.021
Abstract: This paper studies the berth allocation problem (BAP) under uncertain arrival time or operation time of vessels. It does not only concern the proactive strategy to develop an initial schedule that incorporates a degree of anticipation of uncertainty during the schedule's execution, but also studies the reactive recovery strategy which adjusts the initial schedule to handle realistic scenarios with minimum penalty cost of deviating from the initial schedule. A two-stage decision model is developed for the BAP under uncertainties. Moreover, a meta-heuristic approach is proposed for solving the above problem in large-scale realistic environments. Numerical experiments are conducted to validate the effectiveness and efficiency of the proposed method. © 2011 Elsevier B.V. All rights reserved.
Source Title: European Journal of Operational Research
URI: http://scholarbank.nus.edu.sg/handle/10635/54053
ISSN: 03772217
DOI: 10.1016/j.ejor.2011.01.021
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