Supply Chain Security Services, Models and Procedures
University of Piraeus, Greece
For over a decade significant research efforts have been made towards risk assessment (RA) methodologies especially suited to Critical Infrastructures (CIs). In principle, most of the risk assessment methodologies focus on the identification of threats, vulnerabilities and the related impact and ultimately on the evaluation of the underlying risks. During the lecture, the basic RA concepts and methodological steps will be clarified and open issues will be presented; emphasis will be provided in the weakness of the existing risk assessment methodologies to capture the cascading effects occurring from cross-sectoral and/or cross-border dependencies. As a consequence, they tend to focus on organization-wide risks and they fail to capture the security needs of more complex eco-systems of interdependent organizations. Supply chains are an instance of such a complex, inter-dependent eco-system. A supply chain (SC) contains all resources and processes for the purchase of goods including manufacturing, processing, handling and delivery of goods and related services to the purchaser. SC security management involves the assessment of security risks deriving from interdependent CIs from various sectors, with the transportation sector playing a central role. Indeed, CIs of the transportation sector such as ports, railways and airports are characterized by a plethora of interdependencies at multiple levels (infrastructural, national/intra-sectoral). During the lecture a SC risk assessment methodology (MEDUSA methodology ) will be presented that aims to systematically identify and model interdependencies among business partners within a SC; to evaluate the security risks affecting each business partner and the SC as a whole; to evaluate the security risks arising from various sub-chains within the SC. Specific case study in the maritime sector will be presented in order to clarify the steps of the MEDUSA methodology. The students will be provided with supportive material in order to model the methodology in the specific case study.
Lecture at NEMO2015
Date/Time: Friday, July 24, 2015 at 14:00