Digital twin to optimise crane navigation


Crane logistics are often complex to manage and can cause operational delays and other inefficiencies without the right strategy in place. This digital tool helps to optimise crane movements by identifying the root cause of crane allocation conflicts and modelling potential mitigation strategies. Using validated inputs based on production data, the solution can help to remove bottlenecks and provide a pathway to expansion. It is ideal for use in multi-suspension crane workshops.

Problems solved

Low utilisation of cranes due to conflicts Difficult to value initiatives due to crane interactions


Identified bottlenecks, optimised crane strategy and allocation

Key facts


Increase in production


crane logistics
digital twin
machine learning
metals and mining
process optimisation

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