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Digital Library of the
European Council for Modelling and Simulation |
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Title: |
Simulation At A Maritime Container Terminal: Models And Computational
Frameworks |
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Authors: |
Pasquale Legato, Daniel Gullì, Roberto Trunfio,
Riccardo Simino |
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Published in:
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ECMS
2008 Proceedings Edited
by: Loucas
S. Louca, Yiorgos Chrysanthou, Zuzana Oplatkova, Khalid Al-Begain ISBN:
978-0-9553018-6-5 Doi:
10.7148/2008 22nd
European Conference on Modelling and Simulation, Nicosia, June
3-6, 2008 |
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Citation
format: |
Legato, P., Gulli, D., Trunfio,
R., & Simino, R. (2008). Simulation At A Maritime Container Terminal:
Models And Computational Frameworks. ECMS 2008 Proceedings edited by: L. S.
Louca, Y. Chrysanthou, Z. Oplatkova, K. Al-Begain
(pp. 261-269). European Council for Modeling and Simulation. doi:10.7148/2008-0261 |
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DOI: |
http://dx.doi.org/10.7148/2008-0261 |
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Abstract: |
NEC-Italy high-performance
computing division recognises that computer simulation aided organisation and
management is the true challenge for a new generation of advanced decision
tools for supporting operations in modern logistic platforms. Collecting academic expertises, research skills, computing
machinery and dynamic realities with a significant growth into the field of
container terminal logistics is a new R&D project at the CESIC-NEC center
at the University of Calabria. The starting idea of this project is that
discrete-event simulation is the best modelling approach to manage the
complexity of logistic processes at container terminals. For these time-based
systems, operating in a stochastic environment, becomes crucial to highlight
both congestion and starvation phenomena embedded into logistic processes, in order to achieve reasonable
targets of a good management of resources and, therefore, stay on the market.
Here we present some queuing network based representations that are at the
basis of an integrated simulation model under development. Since large and
complex models are affected by a high burden on execution, we also remark the
benefits of parallel and/or distributed computational frameworks. Numerical
results on parallel analysis of simulation output data are given. |
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