Please use this identifier to cite or link to this item:
|Title:||A decision model for berth allocation under uncertainty|
|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|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Dec 6, 2017
WEB OF SCIENCETM
checked on Nov 17, 2017
checked on Dec 10, 2017
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.