A decision model for berth allocation under uncertainty

A decision model for berth allocation under uncertainty

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Article ID: iaor20113903
Volume: 212
Issue: 1
Start Page Number: 54
End Page Number: 68
Publication Date: Jul 2011
Journal: European Journal of Operational Research
Authors: , ,
Keywords: scheduling
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.

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