A power plant running at 91% availability is not performing at 91%. Availability only measures whether the unit is online — it says nothing about whether it is generating at full capacity, at design heat rate, or without quality losses from forced deratings. Overall Equipment Effectiveness for power generation multiplies availability, performance, and quality into a single continuous metric — and most 500MW units running traditional SCADA and DCS monitoring are operating at 68–74% true OEE without knowing it. iFactory's OEE analytics platform connects to every generation asset, calculates real-time OEE at unit and component level, and identifies the specific losses — by type, by duration, by dollar value — that your availability report has been hiding. Book a free OEE assessment.
iFactory's OEE analytics platform calculates real-time Overall Equipment Effectiveness across every power generation asset — decomposing availability losses, performance losses, and quality losses into specific, quantified, actionable findings. Plants typically discover 12–18% recoverable OEE within the first 30 days, worth $2M–$6M annually per 500MW unit.
How iFactory Solves Every OEE Loss Category in Power Generation
OEE losses in power plants fall into three categories — availability, performance, and quality. Each has specific causes that iFactory's AI identifies continuously, quantifies in dollar terms, and generates targeted work orders to address. Book a demo to see OEE analytics applied to your generation assets.
iFactory's pre-deployment OEE assessment connects to your DCS and historian to calculate your current true OEE — availability, performance, and quality — and quantify the recoverable loss in dollar terms.
Deployment Roadmap — Live OEE Analytics in 6 Weeks
iFactory connects to your existing DCS, SCADA, historian, and CMMS. No new hardware required in most deployments. First OEE dashboard live within 30 days. Book a demo for your plant-specific deployment plan.
Full asset hierarchy mapped per OEE loss category — availability, performance, quality. DCS, SCADA, CEMS, and historian connected read-only. Historical loss events imported from CMMS and DCS alarm logs for baseline OEE calculation.
AI models calibrated for performance and quality loss detection per asset class. Design OEE benchmarks configured per unit from nameplate and operational specifications. Heat rate baseline established. CEMS integration validated for quality loss tracking.
Control room, operations, and executive dashboards deployed. OEE-driven work order templates configured per loss category and severity. SAP PM, Maximo, or iFactory CMMS connected. Management reporting templates configured with financial translation.
Real-time OEE live across all assets. Availability, performance, and quality losses tracked and translated to dollar impact. Work orders generating automatically on loss confirmation. 90-day support included.
Our Numbers — OEE Recovery Measured Across iFactory Plants
Results from power generation plants that completed a minimum 12-month period on the full iFactory OEE analytics platform.
Most plants discover their actual OEE is 12–18 points below their availability metric. iFactory quantifies the gap and maps it to specific, actionable recoveries ranked by financial impact.
iFactory vs Competitor OEE and Analytics Platforms for Power Plants
OSIsoft PI, GE Vernova APM, AVEVA, and IBM Maximo all offer production data and analytics capabilities. None calculates true three-factor OEE at component level, translates every loss to dollar impact, and generates condition-based work orders automatically from OEE findings. Book a demo to see iFactory mapped against your current toolset.
| Capability | iFactory | OSIsoft PI | GE Vernova APM | AVEVA | IBM Maximo |
|---|---|---|---|---|---|
| OEE Calculation & Decomposition | |||||
| True 3-factor OEE (A × P × Q) | Real-time, all assets | Availability only | GE assets only | Configurable build | Not available |
| Component-level OEE decomposition | Per asset / system | Not available | Selected assets | Engineering required | Not available |
| Dollar-value loss translation | Every loss quantified | Not available | Manual configuration | Manual configuration | Not available |
| AI & Predictive Analytics | |||||
| Predictive failure detection (72+ hrs) | 93% accuracy | Not available | GE turbines only | Add-on required | Add-on required |
| Heat rate optimisation AI | 5–8% improvement | Not available | GE equipment only | Process optimisation | Not available |
| Emissions quality loss prevention | CEMS integrated | Data collection only | Partial | CEMS add-on | Not available |
| Action & Infrastructure | |||||
| Auto OEE-driven work orders | Fully automatic | Not available | Manual trigger | Manual trigger | Workflow required |
| On-premise / NERC CIP compliant | NVIDIA edge — full | On-prem available | Cloud primary | Hybrid | On-prem available |
| Deployment timeline | 6 weeks | 6–18 months | 12–18 months | 6–12 months | 12–24 months |
Based on publicly available product documentation as of Q1 2025. Verify current capabilities with each vendor before procurement decisions.
Regional Compliance — OEE Data Stays Inside Your Facility
iFactory's on-premise NVIDIA architecture ensures your production, efficiency, and emissions data never leaves your facility — satisfying data sovereignty and OT cybersecurity requirements across every major generation market. Book a demo to see compliance configuration for your region.
| Region | Key Frameworks | How iFactory Solves It |
|---|---|---|
| USA & Canada | NERC CIP-005–013, EPA CEMS, FERC reliability reporting, ISO 55001 | All OEE data inside your Electronic Security Perimeter. EPA CEMS integration for quality loss tracking — emissions data never leaves your facility. FERC reliability event records maintained continuously in immutable audit trail. |
| UK & EU | EU NIS2, IEC 62443, GDPR, EU ETS, ISO 50001, UK Grid Code | GDPR satisfied — production and OEE data on-premise. EU ETS asset-level carbon intensity calculated automatically from OEE data. ISO 50001 energy performance records maintained continuously. |
| Australia | AEMO NEM, SOCI Act 2018, Clean Energy Regulator, ISO 55001 | SOCI critical infrastructure met by on-premise deployment. Clean Energy Regulator emissions intensity data automated from CEMS integration. AEMO production records maintained. All data onshore. |
| Germany | BSI IT-Grundschutz, KRITIS, EU ETS, ISO 50001, BDSG | KRITIS obligations met without cloud transfer. EU ETS production and emissions data on-premise. ISO 50001 energy management records assembled continuously. BDSG data protection satisfied. |
| Saudi Arabia | NCA ECC-1, CITC, IEC 62443, Saudi Vision 2030 efficiency targets | NCA ECC-1 and CITC data localisation met on-premise. OEE reporting supports Saudi Vision 2030 efficiency obligations. Arabic platform outputs supported. SAES-compatible production records maintained. |
Production efficiency data, heat rate, and emissions performance are commercially and operationally sensitive. iFactory's on-premise NVIDIA architecture means none of it leaves your facility — ever.
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iFactory OEE analytics connects to your existing DCS, historian, and CMMS. Live OEE dashboard in 6 weeks. First recoverable loss analysis in 30 days. On-premise. NERC CIP compliant from day one.
