OEE Analytics
Measure and maximize your manufacturing productivity with real-time OEE tracking. Monitor Availability, Performance, and Quality—identify the Six Big Losses and drive continuous improvement. Boost OEE by 25% with data-driven insights integrated into your CMMS.
Trusted by over 1000+ clients across the world
The Gold Standard Metric
What is OEE?
Overall Equipment Effectiveness (OEE) is the gold standard for measuring manufacturing productivity. It identifies the percentage of planned production time that is truly productive—manufacturing only good parts, as fast as possible, with no stop time.
OEE Calculation Formula
Availability
Run Time ÷ Planned TimePerformance
Actual Speed ÷ Max SpeedQuality
Good Parts ÷ Total PartsOEE %
Overall Effectiveness40%
Low OEE
Common for manufacturers without improvement programs. Significant room for improvement.60%
Typical OEE
Average for most manufacturing companies. Fair starting point for improvement.85%
World-Class OEE
Elite performance. Only ~6% of manufacturers achieve this benchmark consistently.Live Monitoring
Real-Time OEE Monitoring
Get instant visibility into equipment effectiveness with real-time OEE dashboards. Monitor every machine, production line, and shift—see exactly where productivity is being lost and take action before it impacts your output.
Live OEE Scores
Real-time APQ metrics updated automatically.
Production Targets
Track actual vs target output in real-time.
Shift Comparison
Compare OEE across shifts and operators.
Instant Alerts
Notifications when OEE drops below threshold.
Plant Floor Displays
Andon boards for operator visibility.
Mobile Access
Monitor OEE from anywhere on any device.
Live Production Monitor
76.4%
12,450 units
Loss Identification
Track the Six Big Losses
Identify and categorize the root causes of productivity loss with the TPM Six Big Losses framework. Know exactly where your OEE is being impacted—from equipment failures to quality defects—so you can prioritize improvements that matter most.
Equipment Failures
Track unplanned breakdowns and stoppages.
Setup & Adjustments
Monitor changeover and setup times.
Minor Stops
Capture small stops and idling losses.
Reduced Speed
Identify slow cycles and speed losses.
Startup Rejects
Track defects during production ramp-up.
Production Rejects
Monitor scrap and rework during runs.
Six Big Losses Analysis
Availability Losses
Performance Losses
Quality Losses
Availability Analysis
Downtime Tracking & Analysis
Capture every minute of downtime with automatic reason code categorization. Understand the true cost of unplanned stops, identify chronic issues, and prioritize maintenance actions that will have the biggest impact on OEE.
Auto Data Collection
IoT sensors capture start/stop times automatically.
Reason Code Library
Standardized codes for consistent tracking.
Pareto Analysis
Identify top downtime contributors.
MTBF & MTTR
Track mean time between/to repair.
Downtime Pareto Analysis
13.5 hrs
18.2 hrs
42 min
World-Class Targets
OEE Benchmarking & Goals
Set targets and track progress toward world-class OEE. Compare performance across machines, lines, shifts, and sites. Benchmark against industry standards and drive continuous improvement with data-driven goals.
World-Class Targets
85% OEE = 90% A × 95% P × 99% Q.
Machine Comparison
Compare OEE across all equipment.
Shift Benchmarking
Compare performance across shifts.
Trend Tracking
Monitor OEE improvement over time.
OEE Benchmark Comparison
Hidden Factory Opportunity
Reaching 85% OEE would unlock 17% more capacity—equivalent to adding a new production line without capital investment.
Integrated Solution
OEE + CMMS Closed Loop
The unique power of OxMaint: OEE analytics fully integrated with maintenance management. When OEE drops, the system automatically triggers work orders. When maintenance is completed, OEE improvements are tracked. Complete closed-loop visibility from problem detection to resolution.
Auto Work Orders
OEE issues trigger maintenance requests.
PM Impact Tracking
See how maintenance affects OEE.
Asset History
Complete equipment performance records.
Predictive Maintenance
OEE data drives predictive scheduling.
OEE → CMMS Closed Loop
OEE Drops
Below thresholdWork Order
Auto-createdMaintenance
Issue fixedOEE Restored
Verified44%
40%
25%
Data-Driven Insights
OEE Reports & Analytics
Transform OEE data into actionable insights with comprehensive reporting. Drill down into trends, identify patterns, and make data-driven decisions that drive continuous improvement across your entire operation.
Custom Dashboards
Build reports for any KPI or metric.
Historical Analysis
Track OEE trends over time periods.
Dimensional Analysis
Slice by machine, shift, product, operator.
Scheduled Reports
Auto-send daily, weekly, monthly reports.
OEE Analytics Dashboard
74.2%
+3.1%71.1%
BaselineProven OEE Improvements
Manufacturers using OxMaint OEE Analytics achieve measurable productivity gains within weeks.
25%
OEE Improvement
40%
Less Downtime
85%
World-Class Achievers
"We finally have one source of truth for production and maintenance. OEE reports drive our daily standup meetings."
ElectraTech Corp
Electronics Manufacturing
"OxMaint OEE Analytics helped us go from 58% to 79% OEE in just 6 months. The real-time visibility was a game changer."
Precision Machining Inc.
Aerospace Manufacturing
"The Six Big Losses tracking showed us exactly where we were bleeding productivity. We eliminated 35% of downtime in Q1."
AutoParts Global
Automotive Tier 1
"Integration with CMMS means problems get fixed faster. Our MTTR dropped from 2 hours to 45 minutes."
FreshPack Foods
Food & Beverage
FAQ
Frequently Asked Questions
Everything you need to know about OEE Analytics and OxMaint's equipment effectiveness monitoring.
OEE (Overall Equipment Effectiveness) is the gold standard metric for measuring manufacturing productivity. It combines three factors—Availability (uptime), Performance (speed), and Quality (good parts)—into a single percentage that shows how effectively your equipment is being utilized. An OEE of 100% means perfect production: manufacturing only good parts, as fast as possible, with no stop time. OEE is important because it identifies where productivity is being lost, provides a benchmark for improvement, and creates a common language across production and maintenance teams.
OEE is calculated by multiplying three factors: Availability × Performance × Quality. Availability = Run Time ÷ Planned Production Time (accounts for downtime). Performance = (Ideal Cycle Time × Total Count) ÷ Run Time (accounts for speed losses). Quality = Good Count ÷ Total Count (accounts for defects). For example: 90% Availability × 95% Performance × 99% Quality = 85% OEE. OxMaint calculates OEE automatically in real-time using data from sensors, operator input, or integration with your existing systems.
OEE benchmarks vary, but generally: 40% is low and common for manufacturers without improvement programs; 60% is typical for most manufacturing operations; 85% is considered world-class for discrete manufacturing. World-class OEE of 85% is typically achieved through 90% Availability, 95% Performance, and 99% Quality. Only about 6% of manufacturers consistently achieve world-class OEE. The most important thing is not the absolute number, but your ability to continuously improve your OEE over time.
The Six Big Losses, originating from TPM (Total Productive Maintenance), categorize the main causes of equipment productivity loss: Availability Losses: (1) Equipment Failures—unplanned breakdowns, (2) Setup & Adjustments—changeover time. Performance Losses: (3) Minor Stops & Idling—small stoppages under 5 minutes, (4) Reduced Speed—running slower than ideal cycle time. Quality Losses: (5) Startup Rejects—defects during ramp-up, (6) Production Rejects—defects during steady-state production. OxMaint tracks all six losses automatically to help you prioritize improvement efforts.
OxMaint provides a unique closed-loop integration between OEE analytics and maintenance management. When OEE drops below a threshold or a specific downtime reason is logged, the system can automatically create a work order in the CMMS. Maintenance personnel receive alerts, complete the repair, and the system tracks the OEE recovery. This integration also enables: preventive maintenance scheduling based on OEE patterns, tracking maintenance impact on equipment effectiveness, and using OEE trends to drive predictive maintenance decisions.
Most manufacturers see actionable insights within hours of installation and real improvements within weeks. The first step is simply measuring OEE accurately—many companies are surprised to discover their true OEE is much lower than expected. With real-time visibility, teams can immediately start addressing the biggest losses. Customers typically see 10-25% OEE improvement within the first year. The key is to focus on steady, incremental improvement rather than chasing a single target number.
Unlock your hidden factory with OEE.
Stop guessing where productivity is lost. OxMaint OEE Analytics gives you real-time visibility into equipment effectiveness so you can take action that matters.
Join 1000+ manufacturers already improving OEE with OxMaint.
