Have you ever felt uneasy about the risks posed by your aging infrastructure? Do you understand how different levels of investment will impact risk and value?
Planning for the long term
The discipline of asset management has a fundamental role to play in helping meet the needs of society—today and in the future. Now more than ever, it’s vital for companies managing critical infrastructure to ensure they make the highest-value investment decisions to ensure the long-term sustainability of assets that are essential to our everyday lives.
In this video, asset managers from Network Rail, National Grid, and Northumbrian Water discuss how the Copperleaf Decision Analytics Solution is helping them make the right investments at the right time and demonstrate value for money from investments more accurately.
Optimize your asset lifecycle with enhanced risk, cost, and performance management
Copperleaf® helps organizations make informed asset investment decisions that proactively consider cost, risk, performance, and corporate strategy. Our software enables asset management professionals to:
- Leverage available asset information to model risk and how it changes over time
- Balance asset sustainment investments with potential growth/strategic investments
- Identify which investments to defer when there are funding, cash flow, or resource constraints
- Create, analyze, and compare asset sustainment strategies—to make informed decisions that maximize value while proactively managing risk
AIPM: A best practice of ISO 55000
ISO 55000 describes best practices in asset management that help organizations realize the maximum value from their assets. This white paper addresses the following questions:
- What is ISO 55000 and which areas of the organization are impacted?
- What is Asset Investment Planning and Management (AIPM) and why is it a best practice of ISO 55001?
- How do Copperleaf’s solutions support ISO 55001 requirements?
Maintain? Repair? Replace? A deep dive on modeling multiple asset interventions
Organizations that manage critical infrastructure rely on a wide range of asset types to provide their services. These asset populations can include millions of assets of varying complexity and cost. Modeling asset condition and the related probability of asset failure is non-trivial and costly.
Copperleaf’s solutions can help your organization define multiple intervention types and apply different strategies to determine the optimal mix of interventions and timing.
Asset management and ESG
Growing pressure around ESG targets and reporting presents both significant challenges and opportunities for asset managers. Download this whitepaper to learn:
- What criteria or metrics are part of ESG reporting?
- What aspects of ISO 55001 can help tackle growing ESG requirements?
- How can Copperleaf help your organization incorporate ESG criteria in your decision making?
Adopted by Industry Leaders
Multi-sector asset investment planning at RNG
Rheinische NETZGesellschaft mbH (RNG) manages over 30,000 km of distribution networks for electricity, gas, water, and district heating in Germany. The Copperleaf Decision Analytics Solution is helping RNG manage risks and project portfolios across multiple networks and asset owners, and align its Asset Investment Planning and Management (AIPM) processes with the ISO 55000 asset management standard.
Making the highest-value asset investment decisions at Network Rail
Network Rail selected the Copperleaf Decision Analytics Solution to help manage Britain’s railway infrastructure, which includes 20,000 miles of track, 30,000 bridges, tunnels and viaducts, and thousands of signals, level crossings and stations. Copperleaf provides an enterprise-wide platform for strategic asset modeling and investment planning, enabling Network Rail to forecast work volumes, outputs, and expenditure across its entire asset base.
Our Product Suite
Copperleaf’s scalable enterprise software solution can grow with you as your business needs evolve. It integrates seamlessly with your existing EAM, APM, ERP, GIS, and other systems for more efficient, data-driven decision-making.