- Project plans
- Project activities
- Legislation and standards
- Industry context
Last edited 10 Sep 2020
Monte Carlo simulation
A Monte Carlo simulation is a computational risk analysis tool applied to situations that are uncertain or variable. It is a mathematical way of predicting the outcomes of a situation or set of circumstances by giving a range of possible outcomes and assessing the risk impact of each. It is also referred to as the ‘Monte Carlo method’ or ‘probability simulation’ and is used in many diverse applications such as construction, engineering, finance, project management, insurance, research, transportation and so on.
The name is thought to have been devised by scientists working on the atom bomb in reference to the principality of Monaco – well known for its casinos.
A key characteristic of a Monte Carlo simulation is that it provides a more realistic picture of likely future outcomes by generating a range of possible values, not just a single estimate. In construction, it can be used to predict how long a particular task will take and its likely effect on the programme schedule.
- Considering worst case scenarios (ie the maximum expected time values for all variables),
- Considering best-case scenarios (ie the minimum expected time values for all variables).
- Considering the most likely result.
|Task||Best case (minimum)||Most likely||Worst case (maximum)|
|Task 1||2 weeks||4 weeks||7 weeks|
|Task 2||3 weeks||6 weeks||9 weeks|
|Task 3||8 weeks||13 weeks||18 weeks|
|Total||13 weeks||23 weeks||34 weeks|
These estimates are inputted into the Monte Carlo simulation which may be run 500 times. The likelihood of a particular result can be tested by counting how many times it was returned in the simulation and a percentage created.
So, it may be that the after 500 simulations, the most likely estimate of 23 weeks completion was only returned 20% of the time (a probability of only 1 in 5). Whereas, completion in 30 weeks was returned 80% of the time (4 in 5), which may be a more realistic basis for the project manager’s decision making.
Note: the extremes may be discounted. It should also be noted that the method is only as good as the original estimates used to create the model. Also, the values outputted are only probabilities but they may give planners a better idea of predicting an uncertain future.
NB The Green Book, Central Government Guidance On Appraisal And Evaluation, Published by HM Treasury in 2018, suggests that: ‘Monte Carlo Analysis is a simulation-based risk modelling technique that produces expected values and confidence intervals as a result of many simulations that model the collective impact of a number of uncertainties.’
 Related articles on Designing Buildings Wiki
- Code of practice for project management.
- Code of practice for programme management.
- Construction project.
- Construction project manager - morning tasks.
- Contingency theory.
- Game theory.
- Microsoft's six ways to supercharge project management.
- Multi criteria decision analysis.
- Project manager.
- Project execution plan.
- Project manager's report.
- Project monitoring.
- Risk management.
Featured articles and news
Survey reveals green skills gap.
America's economic collapse produced scores of PWA Moderne projects.
The benefits of glowing aggregates and cement.
Urgent need for open communication to address mental health issues.
Guidance offered on COVID-19 green recovery, building safety and more.
Providing strength and support above the joists.
Enforcer will test and investigate product safety.
Underfloor air conditioning comes to 24 St James's Square.
Consultation on public right to buy unused public property.
IHBC resource offers improved consistency.
New laws to ‘retain and explain’ historic statues.
The principles and art of the possible. Book review.