Anvari, B;
Ziakopoulos, A;
Morley, J;
Pachakis, D;
Angeloudis, P;
(2020)
Comparison of Fleet Size Determination Models for Horizontal Transportation of Shipping Containers Using Automated Straddle Carriers.
In:
Handbook of Terminal Planning.
(pp. 73-100).
Springer International Publishing
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Abstract
Planning of horizontal transport is a significant problem with material impact on the development budget and productivity of a container terminal. This contribution uses Queuing Theory, Petri Networks and Discrete Event Simulation to address the fleet size determination problem for tactical planning. Considering the different information and modelling effort required for the three methods, it is recommended that Queuing Theory be applied in the preliminary planning stage as it is conservative, while Discrete Event Simulation which can yield significantly more cost-efficient results is applied for the detailed planning stage. Further development would be still required towards an easily applicable tool based on Petri Nets for practitioners to use in current planning problems, but the methodology itself can provide reasonable yet conservative results at a preliminary planning stage.
Type: | Book chapter |
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Title: | Comparison of Fleet Size Determination Models for Horizontal Transportation of Shipping Containers Using Automated Straddle Carriers |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1007/978-3-030-39990-0 |
Publisher version: | https://doi.org/10.1007/978-3-030-39990-0_4 |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Civil, Environ and Geomatic Eng |
URI: | https://discovery.ucl.ac.uk/id/eprint/10069146 |
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