A machine learning risk analysis tool has identified £30m of savings that Network Rail could have made on the Great Western Main Line.
Network Rail has tested nPlan’s system, which uses machine learning to identify patterns in historical project performance and produce accurate cost and time forecasts, on the Great Western Main Line and the Salisbury to Exeter signalling projects.
The theoretical £30m saving on the former project was primarily achieved by flagging unknown risks to the project team, “those that are invisible to the human eye due to the size and complexity of the project data,” according to Network Rail, allowing them to mitigate those risks before they occur at significantly lower cost than if they are missed or ignored.
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