Governments around the globe are preparing to rebuild economies following the impact of Covid-19. In the UK, the PM announced the Build Build Build project which is set to inject...
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Monte Carlo simulation uses repeated random sampling to calculate results about physical and mathematical systems. It uses uncertainty in its inputs to generate a range of possible outcomes, which are...
One thing is true. Life isn’t 100% predictable. This includes everything from the sequence of events that gets you to work on time, to the expected cost and duration of...
Project/programme managers and contractors who want to satisfy customer demands for cost and schedule analysis – we can get you to where you need to be in 3 easy steps:...
A robust schedule is key to effective schedule risk analysis. This article offers simple guidance on using Predict! Risk Analyser to establish more reliable results from schedule risk analysis (SRA)...
Most project based organisations that use some form of QRA do so to calculate confidence and contingency during business case preparation and the competitive tendering stage of their projects. However,...
Monte Carlo simulation uses repeated random sampling to calculate results about physical and mathematical systems. It uses uncertainty in its inputs to generate a range of possible outcomes, which are then reported...
In an increasingly competitive and cost-sensitive environment, CROs need to be better informed on how risky a particular bid price might be (the probability of making a profit or loss)....
