True asset level optimization
A key element that facilitates the linking of information is that AIM is designed to be implemented at the asset level. This enables AIM to easily connect to many data sources with a one-to-one relationship.
Fast and Repeatable Optimization
The core of AIM is a powerful simulation and optimization engine. Optimization is performed using the leading commercial mathematical optimizer and has been particularly chosen for large scale and sparse infrastructure problems.
Risk maps are graphical representations that link cause and effect. They contain the components that are required to make investment decisions, such as asset type, asset failures, deterioration relationships, service impact relationships (i.e.), linking asset to service failure) and risk weights. They also contain the intervention benefits, e.g. new failure rate following proactive replacement.
The scenario builder within AIM enables the user to ask questions in an intuitive manner to assess the tradeoff between risk, service, and cost. Typical questions might be:
If I do nothing, and just react, what will happen?
How much will it cost to maintain current performance?
If I replace assets based on age what will it cost?
AIM has a built-in model equation editor that allows for any mathematical function (such as an estimated deterioration relationship) to be input and stored. We use this to input in the statistical models that represent asset performance and serviceability through time and also other relationships such as costs and benefits.
Rich Visualization of Inputs and Outputs
Results can be compared across simulations and optimization scenarios; within a scenario; spatially at asset level;
and drill downs into the data itself.