What is a risk the context of a construction project?
An uncertain event or set of circumstances that, should it occur, will have a negative effect on the project’s objectives.
What is a risk assessment?
An assessment of the risk to identify the likelihood and severity of the risk being released.
What is the difference between a quantified and qualified risk assessment?
What is a Monte Carlo simulation?
Uses computer software to predict risk.
What is a risk register?
A document listing all the risks identified for the project, explaining the nature of each risk qualitatively and quantitatively.
How do you go about creating a risk register for a new project?
How do you use the risk register?
What is risk allocation?
Risks should be allocated to those best able to manage it, in a manner likely to optimize project performance. The allocation should be clearly identified to a “owner” on the risk register.
What are the risk management strategies?
What are the benefits of risk management?
Why is risk management needed in construction?
What is the purpose of risk management?
How do you report/monitor risks?
What is risk allowance?
What are the 4 main risk allowance categories?
How can the project team reduce design risk?
Who owns specific risks?
This should be the most appropriate party in the construction project that can deal with the risk.
How would you calculate your risk allowances?
On order of cost estimates this is likely to be a percentage, however in cost plans risk allowances would be applied after compiling a risk register, you should use risk analysis to identify the value of risks and chance of them occurring to work out what cost to allow for, not just based on percentages once more information is available.
What are the problems to the QS regarding cost control with piling? Whose risk is the piling?
The end depth of the piles are never a certainty and the procurement route used determines who takes the risk.
What is a three-point estimate?
The three-point estimation technique is used in management and information systems applications for the construction of an approximate probability distribution representing the outcome of future events, based on very limited information.
In three-point estimation, three figures are produced initially for every distribution that is required, based on prior experience or best-guesses:
a = the best-case estimate m = the most likely estimate b = the worst-case estimate
These are then combined to yield either a full probability distribution, for later combination with distributions obtained similarly for other variables, or summary descriptors of the distribution, such as the mean, standard deviation or percentage points of the distribution.