Risk Management Flashcards
3 Most commonly used Risk management Frameworks in Canada
CSA-Q850
Health Canada - Health protection branch: risk determination
Treasury board of canada: framework for risk management
This ISO standard is the national standard for risk management
ISO 31000
PACED
Proportionate
Aligned
Comprehensive
Embedded
Dynamic
Risk Management frameworks for an organization must involve: (IDIEI)
Integration
Designing
Implementing
Evaluating
Improving
The practical steps of Risk Management Process (IAET)
Identification
Analysis
Evaluation
Treatment
Factors that influence likelihood of risk are:
Nature of the exposure
How a person is exposed
Severity of the effect
The American Centres for Disease Control and Prevention (CDC) states that to implement ALAR, you need to consider the 3 basic protective measures in radiation safety.
Time
Distance
Shielding
The ALARP Level is reached when the time, trouble and cost of further reduction measures become unreasonably disproportionate to the risk reduction blank
obtained
The quantitative risk analysis method was developed in 1917 by …
Henry Gantt, in the form of a gantt chart
This ‘provides a practical means of ranking the overall severity of a risk by multiplying the likelihood of risk occurrence against the impact of the risk, should it occur’.
Risk Analysis
This technique is a form of risk brainstorming. It makes use of expert opinion.
Delphi technique
This analysis ‘structured what-if technique’ is a simplified version of HAZOP. It applies a systematic team bsed approach in a workshop where the changes to an approved design (for example) may effect a project through a series of what’if considerations
SWIFT Analysis
This is one of the most practical techniques in helping identify risk mitigations. It looks at a risk event and then projects this in two directions. Potential causes and potential consequences.
Bow tie technique
This simulation (MC) is a computerized mathematical technique that allows people to account for risk in a quantitative analysis and decision making.
Monte Carlo simulation
This analysis is most often used to help determine the best course of action wherever there is uncertainty in the outcome of events or proposed plans
Decision tree analysis