nPlan × Network Rail
A predictive planning benchmark for infrastructure risk modelling across a national asset base.
Relationship to VOLA
This is an external reference benchmark. VOLA CAPITAL does not claim ownership, development, management, advisory involvement or affiliation with the project or organisations named.
VOLA CAPITAL — project photography
Overview
A predictive planning benchmark for infrastructure risk modelling across a national asset base.
Why the case matters
Predictive programme analysis is useful when it challenges assumptions and focuses management attention, while accountable planners retain ownership of the approved forecast.
Operating lessons
- Document the data and assumptions used by the model.
- Use predictions as questions, not automatic decisions.
- Record the management response and subsequent forecast movement.
Technical parameters
- Machine-learning schedule forecasting and risk identification
- Delivery model: Schedule risk analysis for rail capital programmes
- Access: National rail network
Sources
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