Risk transportation via a clique number problem formulation

Mavrommatis, George; Panayiotopoulos, John-Christ

doi:10.1016/s0377-2217(03)00040-7

Cited by 2 publications

(1 citation statement)

References 10 publications

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“…Still in the field of hazardous goods transportation risk management, more specifically in a case of NP hard-classified risk transportation programming, Mavrommatis and Panayiotopoulos (2004) have designed a mathematical model of the situation, and built a dedicated problem-solving heuristics. External factors such as weather, war, strikes, and accidents, may alter transportation schedules, and therefore modify costs within a given planning horizon.…”

Section: Hazardous Goods Transportationmentioning

confidence: 99%

Building an Expert-System for Maritime Container Security Risk Management

Boukachour

Fredouet

Gningue

2011

International Journal of Applied Logistics

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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.

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Section: Hazardous Goods Transportationmentioning

confidence: 99%