A bi-objective berth allocation formulation to account for vessel handling time uncertainty

Mihalis M Golias ()
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Mihalis M Golias: Department of Civil Engineering and Center for Intermodal Freight Transportation Studies, University of Memphis, Memphis, Tennessee 38152, USA.

Maritime Economics & Logistics, 2011, vol. 13, issue 4, 419-441

Abstract: In this article we formulate the berth allocation problem as a bi-objective mixed-integer programming problem with the objective to maximize berth throughput and reliability of the schedule under the assumption that vessel handling times are stochastic parameters, being a function of other stochastic parameters (that is, quay crane breakdowns, quay-to-yard transport vehicle productivity, yard congestion, and so on). A combination of an exact algorithm, a Genetic Algorithms-based heuristic and a Monte Carlo simulation are proposed as the solution approach for the resulting problem. Based on a number of simulation experiments, it is shown that the proposed modeling approach is effective and outperforms berth allocation solutions where reliability is not considered.

Date: 2011
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