PORT OPERATIONALITY AND SAFETY ANALYSIS UNDER UNCERTAINTY
ICCE 2014 Cover Image
PDF

Keywords

uncertainty
simulation model
optimization
operational performance
safety

How to Cite

García Morales, R. M., Baquerizo, A., & Losada, M. . (2014). PORT OPERATIONALITY AND SAFETY ANALYSIS UNDER UNCERTAINTY. Coastal Engineering Proceedings, 1(34), management.31. https://doi.org/10.9753/icce.v34.management.31

Abstract

A methodology for port management is proposed in this work. It takes into account the uncertainty of the port perfor- mance due to the action of random forcing agents, namely, climate agents and exploitation agents. It can be used to obtain optimal solutions for port management problems in which operationality and safety are involved. Multivariate simulation techniques are used to obtain realizations of the random processes that characterize the forcing agents. The port performance is then evaluated by a simulation model. The methodology is applied in a hypothetical port in which the influence of the climate thresholds on operational performance and safety is evaluated by the port simulation model. An optimization problem is then formulated and solved in order to reduce waiting times and costs without compromise the safety levels.
https://doi.org/10.9753/icce.v34.management.31
PDF

References

A. P. N. Autoridad Portuaria Nacional de Perú. Estudio de Costos y sobrecostos de la cadena de servicios logísticos en los terminales portuarios de uso público. Technical report, 2012.

C. Bierwirth and F. Meisel. A survey of berth allocation and quay crane scheduling problems in container terminals. European Journal of Operational Research, 202(3):615-627, May 2010. ISSN 03772217. doi: 10.1016/j.ejor.2009.05.031.

W.-c. Huang, T.-c. Kuo, C.-t. Wu, and C.-c. Kuo. Port management improvement strategies based on simulation model. Journal of Marine Science and Technology, 20(5):492-507, 2012. doi: 10.6119/ JMST-011-0426-1.

J. Mettam. Forecasting delays to ships in ports. In Bruun, Per. Port Engineering, chapter Forecastin. Gulf Publishing Company, Houston, 4th edition, 1989. ISBN 0-87201-842-3.

Puertos del Estado. ROM 3.1-99. Configuración marítima del puerto: canal de acceso y área de flotación. Puertos del Estado, 2000. ISBN 84-498-0513-9.

N. Quy, J. Vrijling, and P. van Gelder. Risk- and Simulation-Based Optimization of Channel Depths: Entrance Channel of Cam Pha Coal Port. Simulation, 84(1):41-55, Jan. 2008. ISSN 0037-5497. doi: 10.1177/0037549708088958.

S. Solari. Metodología de simulación de agentes naturales y desarrollo de sistemas. Modelo de verificación y gestión de Terminales portuarias. PhD thesis, 2011.

S. Solari and M. A. Losada. Unified distribution models for met-ocean variables: Application to series of significant wave height. Coastal Engineering, 68:67-77, Oct. 2012. ISSN 03783839. doi: 10.1016/j. coastaleng.2012.05.004.

S. Solari and P. van Gelder. On the use of Vector Autoregressive ( VAR ) and Regime Switching VAR models for the simulation of sea and wind state parameters. In C. Guedes Soares, G. Y., and Fonseca, editors, Marine Technology and Engineering, pages 217-230. 2011. ISBN 978-0-415-69808-5.

S. Solari, A. Moñino, A. Baquerizo, and M. A. Losada. Simulation model for harbor verification and managment. In Coastal Engineering Proceedings, volume 1, 2010. doi: 10.9753/icce.v32/management. 40.

UNCTAD. Review of maritime transport. Technical report, 2013.

Authors retain copyright and grant the Proceedings right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this Proceedings.