Publication Type
Journal Article
Version
acceptedVersion
Publication Date
8-2009
Abstract
Most container terminals in the world today are operating up to their capacities. In this paper, we have developed a decision support system to optimise yard operations by considering all container flows (import, export and transshipment) through the yard with the view to improving the terminal performance and efficiency. In another paper, we proposed an optimisation model that determines optimal container locations and straddle carrier (SC) movements with the objective of minimising the overall storage and handling cost of containers. In this paper, a discrete event simulation tool for container terminal operations has been developed with three objectives: (i) to validate the operational plan resulting from the optimisation model, (ii) to test the robustness of possible deployment policies for straddle carriers and (iii) to analyse yard resource requirements for future terminal expansion. The model has been applied to the largest container terminal in Greece - the Port of Piraeus and computational results are reported for the case study.
Keywords
discrete event simulation, container terminal, case study, straddle carrier deployment, container assignment
Discipline
Computer Sciences | Management Information Systems | Transportation
Research Areas
Intelligent Systems and Optimization
Publication
Maritime Policy and Management
Volume
36
Issue
4
First Page
353
Last Page
366
ISSN
0308-8839
Identifier
10.1080/03088830903056991
Publisher
Taylor and Francis
Citation
HADJICONSTANTINOU, Eleni and MA, Nang Laik.
Evaluating Straddle Carrier Deployment Policies: A Simulation Study for the Piraeus Container Terminal. (2009). Maritime Policy and Management. 36, (4), 353-366.
Available at: https://ink.library.smu.edu.sg/sis_research/760
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1080/03088830903056991
Included in
Computer Sciences Commons, Management Information Systems Commons, Transportation Commons