Expertise modeling and transportation risk management: an application to container transportation security risk management

1Institut Superieur d'Etudes Logistiques, Quai Frissard –BP 1137–76063 Le Havre cedex, France
2Ecole de Management de Normandie, 30, rue Richelieu–76087 Le Havre cedex, France
3Laboratoire I.C.I.

Journal of International Logistics and Trade

ISSN: 1738-2122

Article publication date: 30 April 2014

Issue publication date: 30 April 2014

372
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Abstract

Due to the globalization of trade, hundreds of millions containers pass every year through world ports. Such a situation is extremely challenging in terms of securing freight transport operations. However, costs and lead-times are still very important components of supply chains' performance models. Therefore, the drive for enhanced safety and security cannot be made at the expense of these other two factors of competitiveness, and the processes implemented by the global supply chain links, including the maritime port one, should tend to a joint optimization of trade facilitation and operational safety / security.

The research on which this paper feeds back falls within the frame of this mixed performance requirement. More specifically, the paper presents a decision-support system dedicated to managing the risks associated with land and maritime container transportation; this system is based on the modeling of the knowledge of a group of experts, and covers the three phases of risk identification, assessment and avoidance / mitigation.

Keywords

Citation

Froufe, S., Gningue, M. and Fredouet, C. (2014), "Expertise modeling and transportation risk management: an application to container transportation security risk management", Journal of International Logistics and Trade, Vol. 12 No. 1, pp. 75-97. https://doi.org/10.24006/jilt.2014.12.1.75

Publisher

:

Emerald Publishing Limited

Copyright © 2014 Jungseok Research Institute of International Logistics and Trade

License

This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited


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