Risk and Safety Management
- Course focuses on risk analysis, safety management, and key risk assessment techniques. Participants from various backgrounds welcome. Engineers, managers, and scientists involved in risk assessment and safety management should attend. Lectures cover topics like risk communication, societal risk, and corporate risk management. Course includes practical case studies from different industries.
Overview
The Risk and Safety Management Training course aims to provide participants with a comprehensive understanding of risk analysis and safety management. Key topics covered include probabilistic risk analysis techniques, risk reduction, system reliability models, and risk communication. The course is designed for engineers, managers, and scientists involved in risk assessment and safety management, as well as personnel from Local Authorities and major facilities operating companies. The program includes lectures on risk management, safety, societal risk, risk communication, and corporate risk management, presented by expert lecturers in the field.
Who should attend
Engineers, managers, scientists.
Course Content
ABOUT THE COURSE
The course aims to provide participants with an understanding of the fundamental elements of risk analysis and safety management. The participant will learn about key risk and reliability assessment techniques as well as the broader context of risk management and communication. The first part of the course includes probabilistic risk analysis techniques such as uncertainty modelling, hazard identification, risk reduction and system reliability models. The second part introduces topics for risk managers such as risk regulation, societal aspects of risk, different types of risk factors and consequences. With its focus on analysing and managing risk, participants from different background are welcome in order to obtain a broader view in the field and its techniques. Throughout the course, case-studies and examples from different industries are presented to insure practical implications of the topics discussed.
WHO SHOULD ATTEND
Engineers, managers and scientists involved in risk assessment and safety management. Personnel from Local Authorities, major facilities operating companies will benefit from attending this course.
PROGRAMME
Day 1
08.30 – 09.00 Delegate Registration
09.00 – 10.30 Lecture 1: Importance and Benefits of Risk Management & Analysis – Christoph Werner
- Definition Risk, Uncertainty etc.
- Basic Probability
10.30 – 10.45 Break
10.45 – 12.15 Lecture 2: Safety & System Reliability – Christoph Werner
- Systemic failures/CCFs
- Hazard Identification
- Tools: ETA, FTA, BBN etc.
- Markov Methods
12.15 – 13.30 Lunch
13.30 – 15.00 Lecture 3:Benchmarking and Quantifying Risk – Christoph Werner
- Cost-Benefit Analysis
- Risk Matrix
- Uncertainty Modelling
- Expert Judgement
15.00 – 15.30 Break
15.30 – 17.00 Lecture 4: Impact and Factor (Hazard and Error) Assessment – Aby Subin
- Environmental, Financial, Reputational etc.
- Human Reliability
- Hazard/Error Data Management
Day 2
9.00 – 10.30 Lecture 5: Managing Risk – Aby Subin
- Planning
- Mitigation
- Monitoring
10.30 – 10.45 Break
10.45 – 12.15 Lecture 6: Rsk for Society and Regulation – Christoph Werner
- Societal Risk
- Risk Acceptance
- ALARP
- Health and Safety
12.15 – 13.30 Lunch
13.30 – 15.00 Lecture 7:Risk Communication – Christoph Werner
Best Practice/Common Frameworks
15.00 – 15.30 Break
15.30 – 17.00 Lecture 8:Corporate Risk Management – Aby Subin
- Financial Risk
- Portfolios, VaR
- Project Risk
About the Lecturers:
Aby Subin
Aby Subin received a BSc. degree in Mathematics from the University of Kerala, Kerala, India, MSc. (Tech) in Mathematics and scientific computing from National Institute of Technology, Calicut, India and is currently a doctoral researcher in the Department of Management Science at the University of Strathclyde, Glasgow, UK.
Her current research focusses on optimising product reliability development cost in a supply chain using cooperative game theory and stochastic simulation techniques. Her research interests include applied probability modelling with application areas in risk and reliability, quantitative finance, decision analysis and game theory.
Christoph Werner
Currently Christoph is a doctoral candidate in the department of Management Science at the University of Strathclyde, Glasgow, UK.
His primary research interests include: Probabilistic Risk and Reliability Analysis, Decision Theory, Expert Judgement and Dependence Modelling/Elicitation.
With an MSc degree in Operational Research, he has a broader competence in deterministic and stochastic mathematical modelling as well as qualitative modelling and problem structuring.
Working on “real-world” problems is thereby a main premise of his work.
Duration:2 Days
Cost:£650 + VAT
