Most power plant managers walk into their morning meeting with yesterday's data. Maintenance backlogs are compiled manually by 7 AM, MTTR figures come from a weekly spreadsheet, and OEE numbers are whatever the shift supervisor estimated during handover. Decisions that affect millions of dollars in equipment, fuel consumption, and unplanned downtime are made on stale, manually assembled numbers with no drill-down capability. OxMaint's Analytics Dashboard changes what a plant manager actually knows at the start of each shift — with live KPI tracking across every asset, every team, and every maintenance metric that matters. Book a Demo to see your plant's performance data inside OxMaint's analytics dashboard.
Analytics Dashboard · KPI Tracking · Power Generation
Real-Time Maintenance Intelligence. Every KPI. Every Asset. Every Shift.
OxMaint's analytics dashboard gives plant managers and reliability engineers live visibility into MTBF, MTTR, OEE, backlog health, maintenance costs, and asset reliability — with drill-down from plant-level summary to individual work order in under three clicks.
Plant Overview — Live
Updated 2 min ago
OEE
86.4%
+2.1% vs last month
MTTR (hrs)
4.2
+0.8 hrs above target
PM Compliance
94%
+6% vs last quarter
Planned vs Reactive — This Month
$2.4M
Average annual savings from data-driven maintenance decisions
73%
of plant managers rely on manually compiled reports for daily decisions
18 hrs
Weekly time saved per reliability engineer on reporting and data gathering
3 clicks
From plant-level KPI summary to individual work order detail
The Data Problem Behind Every Maintenance Decision
Power plant maintenance generates enormous amounts of data every day — work orders, sensor readings, parts consumption, labor hours, failure codes. The challenge is not collecting it. The challenge is turning it into decisions fast enough to matter.
73%
Managers using manually compiled reports
Daily KPI summaries built from spreadsheets, CMMS exports, and shift handover notes — taking 90–120 minutes every morning before any decisions can be made
48 hrs
Average lag from failure event to MTTR update
By the time corrective trends appear in a weekly KPI report, the root cause has had two days to repeat — and the next failure is already in progress on an adjacent asset
31%
of budget decisions lack asset-level cost data
Capital replacement and maintenance budget requests are approved or rejected without per-asset cost history — leading to chronic under-investment in high-risk equipment and over-spending on low-risk assets
62%
of reactive maintenance events were predictable
With proper KPI trending, the degradation patterns leading to these failures were visible weeks in advance — but the data was never surfaced in a format that triggered action before the failure occurred
Every KPI That Power Plant Managers Track — Built In
OxMaint's analytics dashboard is pre-built with the complete set of maintenance KPIs used in power generation — not a generic business intelligence tool requiring custom configuration. Every metric is calculated automatically from live CMMS and digital twin data.
OxMaint Maintenance KPI Library — Power Generation
All metrics calculated automatically from live work order and sensor data
MTBF
Mean Time Between Failures
Tracks asset reliability trend over time. Rising MTBF = improving maintenance effectiveness. Drill down by asset class, failure mode, or crew.
MTTR
Mean Time To Repair
Measures maintenance team response and execution speed. Targets set per asset criticality tier — automated alert when trending above threshold.
OEE
Overall Equipment Effectiveness
Availability × Performance × Quality. OxMaint calculates OEE from SCADA and WO data — no manual input. Broken down by contributing factor automatically.
Asset Availability
Uptime / Total Calendar Time
Live availability percentage per asset with trend line. Forced outage contributions separated from planned outage time automatically.
PM Compliance
Planned Maintenance Completion Rate
Percentage of scheduled PMs completed on time. Identifies chronically deferred maintenance before it becomes corrective. Tracked by asset, team, and period.
P:R Ratio
Planned vs. Reactive Work Ratio
Industry benchmark: 80% planned or better. OxMaint shows this ratio per asset and per crew — identifying where reactive maintenance is consuming capacity that should go to prevention.
Backlog Health
WO Backlog Age and Volume
Total open WO hours vs. available crew capacity. Aged backlog by priority tier — critical WOs overdue flagged automatically for supervisor action.
First-Time Fix Rate
WOs Closed Without Repeat
Percentage of WOs closed without a repeat failure within 30 days. Low first-time fix rates identify training gaps, parts quality issues, or incomplete root cause resolution.
Maintenance Cost per MWh
Total Maintenance Spend / Output
The primary maintenance financial efficiency metric. OxMaint tracks this in real time — combining labor, parts, contractor spend, and lost-generation cost from downtime events.
Cost per WO
Total Cost by Work Type
Average cost breakdown across planned, corrective, and emergency WO categories — with trend analysis that identifies cost inflation before it reaches budget review.
Emergency vs. Planned Cost Delta
Premium Cost of Reactive Work
Quantifies the premium your plant pays for reactive vs. planned maintenance. Industry average: emergency repairs cost 3–8× the equivalent planned job. OxMaint shows this per asset per period.
Asset Lifecycle Cost
Cumulative Cost vs. Replacement Value
Total lifetime maintenance cost per asset plotted against replacement value — the core data needed for run-to-failure vs. replace decisions at capital planning time.
Stop Running Your Plant on Yesterday's Numbers
OxMaint dashboards go live in days — connected to your existing CMMS, DCS, and historian with zero rip-and-replace.
Who Uses OxMaint Analytics — and What They See
Different roles need different views of the same underlying data. OxMaint delivers role-specific dashboards that surface the right metrics for each decision-maker — without requiring anyone to filter, export, or reformat raw data.
Plant Manager
Daily: Availability · Cost · Safety
Forced Outage Hours
14 hrs MTD
Maintenance Cost MTD
$284K
Critical WO Backlog
3 overdue
Reliability Engineer
Weekly: Failure trends · MTBF · Asset health
MTBF — Rotating Equipment
1,840 hrs
Assets Below Health 70%
4 assets
Predictive Alerts — Open
11 active
Maintenance Supervisor
Shift: Backlog · Crew · PM compliance
PM Compliance This Month
94%
Finance and Operations
Monthly: Budget · Cost per MWh · Variance
Budget Variance YTD
-4.2% under
Emergency Premium Cost
$38K MTD
Planned vs. Reactive Split
82% planned
Industry Benchmark: Where Your Plant Should Be
OxMaint includes built-in benchmark ranges for every major maintenance KPI based on industry data from power generation plants globally. See at a glance where your plant performs and where improvement has the highest financial impact.
| KPI |
Poor Performance |
Industry Average |
Best-in-Class |
OxMaint Plants (Avg) |
| OEE |
Below 65% |
72–78% |
88%+ |
84–87% |
| PM Compliance |
Below 70% |
74–82% |
95%+ |
91–96% |
| Planned vs. Reactive Ratio |
Below 60% planned |
65–75% planned |
85%+ planned |
81–88% planned |
| MTTR (Gas Turbine) |
Above 8 hrs |
5–7 hrs |
Below 3.5 hrs |
3.8–4.6 hrs |
| Maintenance Cost per MWh |
Above $5.20 |
$3.40–$4.80 |
Below $2.60 |
$2.70–$3.20 |
| WO Backlog (weeks of work) |
Above 6 weeks |
3–5 weeks |
Below 2 weeks |
1.8–2.6 weeks |
| First-Time Fix Rate |
Below 70% |
74–82% |
92%+ |
88–93% |
Frequently Asked Questions
How does OxMaint connect to our existing CMMS and historian systems to populate the dashboards?
OxMaint connects to existing CMMS platforms, DCS historians, and SCADA systems through standard APIs and industrial protocols including REST API, OPC-UA, OSIsoft PI, and Modbus. The analytics dashboard is populated automatically from live data flowing through these connections — no manual data entry, no CSV exports, and no scheduled batch updates. Most integration configurations are complete within 2–3 weeks. For plants already using OxMaint CMMS, the dashboards are active from day one with no additional setup.
Can OxMaint dashboards be customized for our specific KPI targets and reporting requirements?
Yes. OxMaint's dashboard configuration allows plant managers and reliability engineers to set custom KPI targets, define alert thresholds, choose date range defaults, and add or remove metric tiles from each role's home view. The underlying data model supports custom calculated metrics — if your plant uses a non-standard formula for a KPI, it can be defined and calculated automatically from raw WO data. Custom reports can be configured to generate and distribute automatically on a schedule to plant management, ownership groups, or regulatory contacts.
How far back does OxMaint's analytics data go — can we see historical trends from before deployment?
OxMaint supports historical data import from your existing CMMS and historian systems going back as far as your records exist. During onboarding, the implementation team migrates historical WO data, failure records, and maintenance cost data — enabling trend analysis from day one rather than requiring months of live data accumulation before dashboards become meaningful. Plants that import 2–3 years of historical data gain immediate access to MTBF trends, seasonal failure patterns, and asset lifecycle cost curves that take other platforms years to develop.
Can OxMaint analytics feed data into our corporate reporting or ERP systems?
Yes. OxMaint supports bidirectional data flow with major ERP platforms including SAP, Oracle, and Maximo through API integrations. Maintenance cost data, WO completion records, and asset condition summaries can be pushed to corporate reporting systems on a scheduled or event-triggered basis. OxMaint also supports automated report export in PDF, Excel, and CSV formats — with email distribution to defined recipient lists on daily, weekly, or monthly schedules. This eliminates the manual weekly reporting cycle that typically consumes 4–8 hours of a reliability engineer's time per week.
OxMaint Analytics Dashboard
Your Plant Generates Thousands of Data Points Every Hour. It Is Time They Told You Something.
OxMaint analytics transforms raw maintenance data into the decisions that prevent failures, reduce costs, and maximize availability — automatically, in real time, for every manager and engineer on your team. Connect your systems in days. See your first dashboard the same week. Make every maintenance decision with data your entire organization can trust.
Live in 2 weeks
·
No data migration required
·
Works with your existing CMMS
