Building an Expert-System for Maritime Container Security Risk Management

Abstract

Until lately, transportation risk management has mostly dealt with natural or man-made accidental disasters. The September 11th tragedy has made transportation operators, as well as shippers and public authorities, aware of a new type of risk, man-made and intentional. Securing global transportation networks has become an important concern for governments, practitioners and academics. In the current time-based competition context, securing transportation operations should not be sought at the expense of time effectiveness in physical and informational flow processing. In this paper, the authors describe a project for the design of an expert-system dedicated to maritime container security risk management, present a literature review on decision-support systems dedicated to transportation risk management, and discuss the various steps of expertise modeling in a transportation risk management context.

Using Fuzzy Logic Algorithms and Growing Hierarchical Self-Organizing Maps to Define Efficient Security Inspection Strategies in a Container Terminal

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A Concept for Improving the Security and Efficiency of Multimodal Supply Chains

“…Supply chain risk assessment's objectives are to identify and assess those risks and vulnerabilities in the supply chain process and route that can affect the quality of the delivery process. Several security risk assessment and management methods for supply chains and container freight have been developed in recent years (Boukachour et al, 2011;Papas, 2011;Salmela et al, 2010). The ways of assessing risks are selected according to the required objectives.…”