Asset-level Risk and Cost Modelling
Risk and cost forecasts are calculated according to user-defined equations in the powerful and flexible AIM Model Editor. The Model Editor links directly to your asset data set and attributes and includes many built-in variables and mathematical functions that allow you to formulate effective risk and cost models. Models are validated and visualized using the model profiler, avoiding the need for complex spreadsheets and helping users to spot and correct model errors.
Advanced Statistical Distributions and Uncertainty
AIM allows for the formal quantification and analysis of uncertainty for every model parameter before and after optimisation. Including uncertainty distributions within your decision-making framework gives you a deeper understanding of the inherent uncertainty around your risks, costs and investment requirements.
AIM includes all standard and several expert statistical distributions such as Normal/Gaussian, Lognormal, Weibull, Gamma and Chi Squared to help users build advanced deterioration and consequence models.
The AIM Planning Horizon defines the time period for optimized decision making. Users can define daily, weekly, monthly or yearly time steps, allowing for short term, medium term and longer term planning. Daily, weekly, monthly and annual time steps can cover periods up to 3 months, 2 years, 8 years and 100 years respectively