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).

Scheduling and optimisation – Tug fleet management

Efficient assignment of tugs to vessels, obeying complicated limits on crew workload. A tool was developed from scratch and used in developing operational methodologies.

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 analytics - Ship transit times

The customer required knowledge of ship transit times between berths and the harbour entrance. GPS-timestamp data was sourced from marinetraffic.com, and using advanced R algorithms to geofence each point of interest provided full statistics of movement times within an afternoon.

Advanced analytics - bottleneck removal

Ore processing facilities can be constrained by any of a number of factors, with bottlenecks moving around very quickly depending on ore infeed properties and machine performance. Hypercube analysed several months of timeseries data from weightometers to identify what the bottleneck was at each moment in time. A simulation then released each bottleneck by a given percentage (representing a possible upgrade) to calculate how often that upgrade would have increased overall performance, and which bottleneck would have been hit next. This allowed accurate assessment of the value of different possible investments.

©Hypercube Scientific

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