value from science
value from science
Dynamic simulation – Supply chain model
Development and maintenance of an holistic model including all operations from Ore Processing Facility output through to shipping. Utilised for several operational improvement and development scenarios over several years, the model has formed the basis for planning operational changes (e.g. increasing throughput along a rail spur), and removed significant sums from expansion planning (e.g. deferring the point at which a new ship loader will become necessary).
Bespoke scheduling and planning application
Our client, an iron ore major, undertakes their integrated scheduling and planning through our custom-built tool. It integrates with their live data sources, produces a wide variety of outputs for consumption across the business, and incorporates an optimisation engine that can automatically produce detailed schedules out to several days.
Physics modelling – In-train force dynamics
Physics model of in-train forces developed and applied to indexing of trains in an unloader. Used to identify the indexing force below which damaging induced forces between wagons would be eliminated.
Advanced analysis - computer vision
Calculation of truck axle group configurations by automatically analysing videos taken at the weighbridge. A machine learning model detects wheels on the trucks and we then derive distance to the next axle for identifying the axle groupings.
Various novel techniques were used to speed up processing, such as stitching together a region of interest clipped from each frame.