PROJECT HISTORY
The challenge
A compatible asset investment planning solution to support the creation of a five-year business plan.
Scottish Power
Delivering the optimal asset investment planning solution to support business planning
The solution
Enterprise Decision Analytics will include a range of constraints and objectives to help understand the impact of different decisions.
The impact
The client benefitted from the solution by saving more money on maintenance costs and reducing planning time.
25-35%
cost efficiencies
Reduced
spending by 20% overall
The challenge
Scottish Power was looking for an asset investment planning solution to support the creation of its business plan for the next price control period (RIIO-ED2) which runs over five years, from 2023 to 2028. They selected Arcadis’s Enterprise Decision Analytics (EDA), a world-leading asset investment planning solution, built to provide insights into your assets and enable data-driven decisions.
With limited visibility on the impact of certain business decisions, the energy group needed to implement a system that would give them more control over both their assets and future performance.
The solution
For RIIO-ED2, Scottish Power Networks will determine the optimal intervention portfolio to deliver value for money for customers. Working closely with our experts to deploy the EDA platform, a range of constraints and objectives were utilized to help the client understand the impact of different decisions and different constraints on network decision making.
The solution incorporated a decision-making framework against which investments can be scored, a risk register to identify pre- and post- risk of investments, a workflow to progress investment requests through various stages, and a configurable prioritization framework across various asset of business portfolios.
The impact
EDA was deployed to support across a portfolio of investments of approx. $300 million. Thanks to the insights gathered from the platform, Scottish Power was able to see cost efficiencies of up to 35% which equals to approx. $100 million, and also so substantial reduction in planning and reporting times.
