
- Failure modes and effects analysis (FMEA): Qualitative risk analysis relies upon two main pieces of information: The impact of a risk occurring and the likelihood of that risk occurring. These two measures are subjectively determined by management and can be ranked on a 1-10 scale. An FMEA multiples these two measures together to produce a ranking of project risks. Another measure, the degree of warning that accompanies these risks, can also be inputted using the 1-10 scale to produce more information to support management planning mitigation strategies for the risk. In health and safety risk management, this technique allows for hazards to be identified and for root causes to be identified to be followed up on by management.
- Red, Amber, Green (RAG) and risk urgency assessment: Qualitative assessment relies on management judgment of risk and this technique allows management to classify their assessment of hazards into different levels of importance. Red is the most serious risk in terms of cost, impact and likelihood of the risk occurring, while green is the risk deemed to be of the lowest level impact. A RAG assessment can be combined with an urgency assessment to create good results, generating a list of risks in terms of their priority levels. A system like this allows management to organize and keep track of a project’s safety risk management.
- Categorization: This tool allows management to group risks by category. This makes the risk management process more organized and workable, especially for large projects. Risks can be categorized by impact and probability: Low-impact high probability, medium-impact low-probability etc. This gives management a good overview of the risks involved in the project and the information they need for planning their avoidance and mitigation strategies. Grouping risks by a shared commonality allows for a coordinated approach from management in dealing with the risk. For instance, if risks are categorized by their root cause, then that cause can be planned for and monitored closely by safety management.
- Event Trees: An event tree is a commonly used probability measurethat helps determine the potential outcome of various events. In safety risk management, event trees are used to project the event of a hazard occurring and the knock-on impacts that event would have. In risk management, event trees become very useful when combined with the Expected Monetary Value (EMV) of the risk occurring. EMV relies on two measures, probability and impact, and attaches an associated cost to each risk. When event trees are combined with EMV, they can be a really instructive and realistic illustration of how risks can impact the project and can help management significantly in their safety risk management strategy.
- Sensitivity Analysis: A Sensitivity analysis is a very useful tool in safety risk management. It shows the impact that a number of variables can have on risk. Simply put, a sensitivity analysis allows management to understand how one aspect of a project relates to the overall risk involved in the project. Management can then see how different project risks impact the overall safety risk in different ways and at different levels. The results of a sensitivity analysis can be clearly illustrated by a tornado diagram. Since this is a quantitative analysis, these figures are easily comparable and so can be of great help to management in identifying safety risks of a project.
- Project simulations: Project simulations are group enactments or stagings of situations. These simulations can be enacted by actual people on a team; where workers and managers simulate a project. This can help identify potential safety risks involved in the project as well as foster a spirit of teamwork within a group. Human error is always a risk in any project and project simulations can help both to identify risks and avoid any accidents relating to human error.
- Alternatively, management can employ a data analytical approach. Using a Monte Carlo simulation, we can input a range of outcomes that result from a hazard occurring and get a range of results from best case to worst case with an attached likelihood of each situation. The computer simulates all potential scenarios and can also project the most likely outcome based on the risks attached to the project. The key to this is advanced knowledge of the risk variables at play in the project. As mentioned before, quantitative analysis is only as good as the information inputted!
- Avoidance – For risks that can severely negatively impact a project, avoiding the risk totally is a good response (if possible).
- Mitigation – Reducing the impact of the risk occurring. This is probably the most common risk response.
- Transference – Transferring the impact of the risk to a third party i.e. an insurer.
- Acceptance – Some problems you can’t solve! The response of doing nothing needs to be a well thought out response that comes after reviewing all possible options and deciding that this is the best course of action.
