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overview
Key Learning Objectives
- Construct meaningful MUE registers
- Effective use of the Bow Tie Model
- Understanding risk in the context of real numbers
- Comprehensively identifying and understanding the effect of risk control measures
- Understanding social, legal and cost-effectiveness criteria for the selection of control measures
About the Course
This course is about the scientific understanding of risk, its measurement and analysis. This knowledge underlies the concepts of critical risks and their controls, as described in the International Council on Mining and Metals (ICMM) Critical Control Management Guide. The efficient use of the processes described in the Guide benefits from an understanding of “risk” and what is meant by “safety”, the connect between “hazard” and “risk” and the foundation of engineering risk analysis methods.
There is much potential for misunderstanding in the used of terms and methods because of the numerous definitions of them in legislation and in the plethora of risk management standards: “Even within the ISO domain… I think there’s about 40 different definitions of risk in different standards”
(May 7, 2018: Grant Purdy interviewed by Alex Sidorenko in https://riskacademy.blog/the-most-amazing-risk-managementinterview-ever/)
However, these terms are actually also the subject of good science. This science provides a sound foundation for understanding, identifying and ranking Material Unwanted Events (MUE), risk and the risk analysis principles simplified in Bow Tie Analysis. The science clarifies the differences between causes and controls and enables control measure possibilities to be comprehensively listed.
Who Will Benefit
Scientifically-educated professionals in the mining and minerals industries, e.g. engineers, geologists, metallurgists and surveyors.
Modular In-house Training
We offer the opportunity to run these programs privately in-house to take advantage of the following benefits:
- Modules can be released on dates that suit your working week
- Interactive Live Trainer sessions can be scheduled on dates that suit your colleagues
- We can brand our learning management platform to your company
- Sensitive or specific information can be shared on the learning management platform for discussion
- Receive detailed feedback reports & data to guide future development needs of colleagues
- More cost-effective for 6+ attendees
Contact one of our Training Consultants at training@informa.com.au for more information.
Course Outline
This course consists of seven modules, which progressively explain the foundation science and its application in:
- Developing a register of MUE
- Risk analysis theory and its efficient use in Bow Tie Analysis
- Estimating risk using real numbers and comprehensively identifying and evaluating control measures including the use of cost benefit analysis.
MODULE 1
Conceptual Clarity & Science Applied To Understanding Risk – Course Introduction
- Biographical notes on the presenter
- Accident causation theory and its history
- Recognising accident causation ideas in modern world safety programmes
- Scientist’s views on accident causation theory
- The qualities of models and theories arising from application of the scientific method
- Illuminating the differences
- Structure and content of this course
MODULE 2
Knowing Your Risks
- The origins of the scientific understanding
- How damage happens 1
- How damage happens 2
- Categorising and cataloguing risks – creating sensible risk registers
- Risks in the mining industry
MODULE 3
The Time Structure of Damage Processes
- The time sequence damage process model, Part 1
- The time sequence damage process model, Part 2
- Risk engineering analytical methods in this context – Fault tree and Event Tree (Outcome Analysis)
- The meaning of the elements of the Bow Tie model
- Translating the ICMM Definitions and Acronyms
MODULE 4
Estimating Risk
- The parameters that determine risk, Part 1
- The parameters that determine risk, Part 2
- The Risk Diagram
- Estimating Risk, Part 1
- Estimating Risk, Part 2
- The practical value of understanding Risk in real numbers
MODULE 5
Control Over Risk
- Class A Risk controls in the Energy Damage Model
- Class A Risk controls in the Time Sequence Model
- Class B Risk controls
- The effect of Risk Controls (both Classes) on Risk parameters
- The effect of Risk Controls on the Risk Diagram
MODULE 6
Evaluating Risk Control Possibilities
- Social research on public perceptions of risk
- The legal origins of “reasonably practical” (SFARP, ALARP)
- Evaluation in the context of best practical and best possible control measures
- Understanding “the hierarchy of controls”
- A practical filter: the criteria for Must, Should and Could do controls
- When and how to use Cost Benefit Analysis on control options
- “Material Unwanted Events” in the context of the Risk Diagram and the Risk Register
MODULE 7
Bow Tie Analysis
- Defining Events in a consistent manner and recognising MUEs
- Understanding Mechanisms
- Understanding Outcomes and Consequences
- Using Bow Tie Analysis as a container for comprehensively listed control measures (Class A and B)
- Using Bow Tie Analysis in the context of Risk evaluation criteria
Live Interactive Session:
14 February – 1 April 2022 Course
15:00 AEDT (4 March)
15:00 AEDT (18 March)
15:00 AEDT (1 April)
Live Interactive Session:
15 August – 30 September 2022 Course
15:00 AEST (2 September)
15:00 AEST (16 September)
15:00 AEST (30 September)
when & where
14 Feb - 03 Apr 2022
Blended Learning
15 Aug - 02 Oct 2022
Blended Learning
On-site & in-house training
Deliver this course how you want, where you want, when you want – and save up to 40%! 8+ employees seeking training on the same topic?
Talk to us about an on-site/in-house & customised solution.
contact
Still have a question?
Sushil Kunwar
Training Consultant
+61 (0)2 9080 4395
training@informa.com.au