Home // SENSORCOMM 2012 , The Sixth International Conference on Sensor Technologies and Applications // View article

Sensor Based Risk Assessment for the Supply of Dangerous Products

Authors:
Laurent Gomez
Omar Gaci
Jean Pierre Deutsch
Elie El-Khoury

Keywords: Supply Chain; Sensor; Security

Abstract:
As a consequence of globalisation, supply chain systems recently evolved toward a dynamic network of firms and industries. This complexification of supply chain processes raises several challenges in particular with respect to compliance to regulations (e.g., safety, security). With the multiplication of intermediate actors, a single non-compliant actor might jeopardize the safety of population and actors involved in supply chain process. There is, therefore, a clear need for risk management in order to mitigate the occurence of potential threats due to non compliance to regulation at the execution of the supply chain process. Traditionnal approaches tend to rely on human operators checks, or collection of contextual information from sensors locally (e.g., warehouse, truck). Therefore, there is risk of a disruption of regulation checks along the process execution. In this paper, we propose the delegation of risk assessment to sensor nodes, attached to the supplied products, for an automatic risk assessment all along the supply chain execution. Empowered with monitoring capabilities, sensor nodes are meant to trigger alert in case of contextual constraint violation along the supply chain. Our goal is to raise the awareness of the supply chain players with an early alerting service to enforce the regulations.

Pages: 342 to 348

Copyright: Copyright (c) IARIA, 2012

Publication date: August 19, 2012

Published in: conference

ISSN: 2308-4405

ISBN: 978-1-61208-207-3

Location: Rome, Italy

Dates: from August 19, 2012 to August 24, 2012