Risk Analysis of Highly-integrated Systems

Abstract

Framing topical problems, providing knowledge on highly integrated large scale technical systems, introducing advanced models and tools for assessing their risk and vulnerabilities. Comprehensive use of advanced modelling techniques and management concepts for strengthening their performance and robustness.

Objective

Developing a basic understanding of risk and vulnerabilty of large complex systems including their interdependencies taking energy systems and digital systems for industrial control as a reference. Learning about concepts of risk and vulnerability analysis as well as respective analytical instruments. Deep understanding of required advanced modelling techniques and software tools with focus on agent based modelling, applying methods to case studies including risk analysis, assessment and management. Optimising systems with regard to resilience and recoverability.

Content

Clarification of key terms and problems, analytical goals and focal points; techniques of system modelling and performance analysis like selected tabular methods (e.g. FMEA), graph methods (fault tree and event tree analysis, Petri nets); treatment of systematic faults and consideration of human factors, modelling of complexity and interdependencies; scenario development, release terms and accident consequence models; representation of results and visualisation; approaches to risk assessment and decision making including required methods and tools; vulnerability and resilience; engineering of robust systems; risk management including emergency planning, emergency control and crisis management; application of the know how to a comprehensive case study.

Resources