Improved certainty will minimise delays and reduces the chance of overrunning programme, rework or unexpected resource. This has the potential to improve profit margins by an estimated 15-25%. This is primarily achieved by flagging unknown risks to the project team, allowing them to mitigate those risks before they occur at significantly lower cost than if they are missed or ignored.
Network Rail tested the platform on two of its largest rail projects – the Great Western Main Line and Salisbury to Exeter Signalling project. It found that by leveraging past data, it could save up to £30m of a £3bn expenditure on the Great Western Main Line project.
Kier have now employed nPlan’s services on their Guildford test project. The work and outputs were used to learn from and inform Kier's tender for the project.
Productivity is at the heart of this platform, using learnings from over 200,000 project schedules to create accurate, objective and hyper-rigorous planning programmes. Teams across projects, from within and across contractors, will perform better with this great certainty. And benchmarking delivery models in this way will lead to standardisation and best practice across the industry, improve productivity.
nPlan estimates the platform will save 5% of the time normally taken from project inception to project sanction. More accurate project scheduling will provide improved certainty of budgets and timing, reducing contingency by 20%.
Network Rail is using the platform across its portfolio of projects, potentially transforming the way major rail projects are delivered across Britain. Network Rail tested the platform on two of its largest rail projects – the Great Western Main Line and Salisbury to Exeter Signalling project - which represent £3bn of expenditure. It found that by leveraging past data, it could save up to £30m on the Great Western Main Line project alone.
Network Rail will now embark on the next phase of deployment, rolling out the software on 40 projects before scaling up on all projects by mid-2021. Data from over 200,000 programmes will increase prediction accuracy, reduce delays, allow for better budgeting and unlock early risk detection, leading to greater certainty in the outcome of these projects.
Alastair Forbes, Network Rail’s programme director (affordability) said: “By championing innovation and using forward-thinking technologies, we can deliver efficiencies in the way we plan and carry out rail upgrade and maintenance projects. It also has the benefit of reducing the risk of project overruns, which means in turn we can improve reliability for passengers.”