Cosmo Tech Asset Investment Planning for Energy & Utilities | Azure Application
Cosmo Tech
Cosmo Tech Asset Investment Planning for Energy & Utilities | Azure Application
Cosmo Tech
Cosmo Tech Asset Investment Planning for Energy & Utilities | Azure Application
Cosmo Tech
Predictive and prescriptive AI-Simulation platform for Asset Investment Planning.
Organizations
are under increasing pressure to do more with less—managing aging
infrastructure, meeting regulatory and sustainability goals, and navigating
operational constraints —all while making strategic investment decisions.
Empower your decision-making with Cosmo Tech AI Simulation
Cosmo Tech AI-Simulation empowers asset- and capital- intensive organizations to:
· Simulate asset investment scenarios across full asset portfolio - under real-world constraints
· Forecast long-term CAPEX, OPEX, downtime, and asset condition across asset classes, sites and various time horizons
· Build risk-informed, value-based asset investment strategies in a context of uncertainty
· Analyze trade-offs between costs, risk and operational performance
· Optimize maintenance, reinforcement and replacement planning while aligning operations, finance, and executive teams.
The benefits of adopting an Asset Simulation Twin for smarter asset operations are varied and clear. They include:
- Accurate Predictions: Accurately predict asset behavior, anticipate failures, and optimize maintenance schedules.
- Cost Savings: Identify cost-saving opportunities. optimize resource allocation, reduce downtime, minimize unnecessary maintenance activities.
- Improved Efficiency: Identify bottlenecks, streamline processes, optimize workflows, and improve overall operational efficiency.
- Proactive Risk Mitigation: Track, measure, and optimize risk profiles across the asset network while minimizing costs associated with downtime or unexpected failures.
- Increased Safety: Identify potential hazards or safety concerns before they occur in real-world situations.
- Optimal Resource Allocation: Allocate resources optimally based on actual needs rather than fixed schedules or assumptions.
- Optimal OPEX/CAPEX spend: FInd the best balance between competing corporate targets and constraints about asset maintenance and capital investment policies.