Mining & Metals

“When designing a greenfield operation, it is often necessary to use rules and logic from similar operations or to make assumptions around equipment performance, reliability and ore grade – how do these impact your plan?”

A digital twin simulation model incorporates factors such as system dynamics, random events, and uncertainty, just like the real system. Testing the “ideal” plan whilst applying real world variability allows you to project forward in time, testing the robustness, validity, and performance of many scenarios before any significant commitments are made.

Making flow sheet or operational rule changes to existing mining operations can potentially cause disruption and delays and it takes time to assess the impact of such changes. With an appropriate model it is possible to test, analyse and optimise the overall operation as well as any potential changes.

Combing the immense amount of information that these models produce with tailored data visualisations and powerful analytics allows stakeholders to make fact-based and informed decisions supported by a rigorous and transparent approach.

Challenges: Capacity expansion planning, Fleet optimisation, Routing, and scheduling, Mine planning, Bottleneck analysis, Flowsheet changes, Operational decision making, Risk assessment

Mining & Metals

“When designing a greenfield operation, it is often necessary to use rules and logic from similar operations or to make assumptions around equipment performance, reliability and ore grade – how do these impact your plan?”

A digital twin simulation model incorporates factors such as system dynamics, random events, and uncertainty, just like the real system. Testing the “ideal” plan whilst applying real world variability allows you to project forward in time, testing the robustness, validity, and performance of many scenarios before any significant commitments are made.

Making flow sheet or operational rule changes to existing mining operations can potentially cause disruption and delays and it takes time to assess the impact of such changes. With an appropriate model it is possible to test, analyse and optimise the overall operation as well as any potential changes.

Combing the immense amount of information that these models produce with tailored data visualisations and powerful analytics allows stakeholders to make fact-based and informed decisions supported by a rigorous and transparent approach.

Challenges: Capacity expansion planning, Fleet optimisation, Routing, and scheduling, Mine planning, Bottleneck analysis, Flowsheet changes, Operational decision making, Risk assessment