OEE Tracking

Your OEE Number Is HidingWhere the Real Losses Are

Most manufacturers know their OEE score. Few can point to the exact machine, shift, or station dragging it down. Sandhed maps availability, performance, and quality data onto your floor plan so you can see where OEE drops and why.

The Problem

Where Things Break Down

OEE is supposed to tell you where to focus. In practice, most facilities calculate a single plant-wide number once a shift or once a day, then argue about what caused the gap. Availability data lives in the PLC. Performance data lives in the MES. Quality data lives in a spreadsheet. Pulling these together takes hours, and by then the shift is over. You end up fixing yesterday's problems instead of today's.

OEE is calculated too late to act on

Most plants calculate OEE at shift end or daily. By the time the number reaches a manager, the root cause is cold. No one remembers which micro-stops added up or which changeover ran long.

Shift-level delays in identifying OEE losses

Availability, performance, and quality data live in different systems

Downtime logs sit in the CMMS. Cycle times live in the PLC. Scrap counts are in a spreadsheet or quality system. Getting a true OEE picture for one machine means pulling data from three places manually.

Hours spent assembling OEE data per production review

No way to compare machines or shifts visually

Your best CNC and your worst CNC show the same green light on the SCADA screen. Without a spatial view, you cannot see that one corner of the floor consistently underperforms or that second shift drops 12% every Tuesday.

Hidden patterns in machine and shift performance

Our Approach

What Sandhed Does Differently

Sandhed connects to your PLCs and sensors via OPC UA and MQTT, then maps availability, performance, and quality data onto your 3D floor plan in real time. Each machine shows its current OEE as a color-coded overlay: green for on-target, amber for declining, red for below threshold. Click any machine to see its availability, performance, and quality breakdown. Compare shifts side by side. Spot bottlenecks by looking at the floor plan instead of digging through spreadsheets.

Machine-Level OEE on Your Floor Plan

Every machine displays its current OEE as a color-coded overlay on the 3D floor plan. Green means on target. Amber means declining. Red means below your threshold. Spot the weak spots without opening a report.

Availability, Performance, and Quality Breakdown

Click any machine to see its three OEE components in real time. See exactly whether the loss is coming from unplanned stops, slow cycles, or scrap. Each component shows current value and trend direction.

Shift-by-Shift Comparison

Compare OEE across shifts on the same floor plan view. See which shift runs tighter changeovers, which has more micro-stops, and where the gap between best and worst shift is widest.

Bottleneck Identification Through Color Overlays

Switch to a bottleneck view and the floor plan highlights machines with the lowest OEE in red, creating a visual heat map. Follow the color gradient to find where production flow breaks down.

Quick Assessment

How Exposed Is Your Facility?

OEE Improvement Assessment

Answer 5 questions to get a personalized score and recommendations.

How do you currently track OEE at your facility?
How long does it take to identify which machine has the lowest OEE on a given day?
What is your current plant-wide OEE?

Industry Applications

Built for Your Industry

OEE Improvement for Manufacturing

Track availability, performance, and quality for every CNC, press, and assembly station on your 3D floor plan. See which machines and shifts are pulling your OEE down.

Manufacturing

OEE Improvement for Automotive

Track station-level OEE across your assembly line with availability, performance, and quality breakdowns tied to your takt time targets.

Automotive

Expected Outcomes

Results You Can Measure

0%

Average OEE gain

Typical first-year improvement from visibility alone

0%

Less time assembling OEE data

Reduction in manual data gathering

0 sec

Time to identify lowest-OEE machine

Glance at the floor plan instead of pulling reports

0 hrs

Setup time

From floor plan to live OEE tracking

Based on platform capabilities and industry benchmarks. Results vary by facility.

FAQ

Common Questions

Sandhed pulls availability data from machine state changes (running, idle, stopped), performance data from cycle time readings against your target cycle times, and quality data from reject/scrap counts. These come in through OPC UA, MQTT, or the Telemetry REST API. You set the target values per machine, and Sandhed calculates OEE continuously rather than once per shift.

Related Solutions

Unplanned Downtime Prevention

Most manufacturers discover downtime after it costs them. Sandhed gives you the visibility to catch equipment issues before they shut down production.

View Solution

Custom Dashboards & KPI Views

Your factory generates thousands of data points every hour. Sandhed puts them on drag-and-drop dashboards tied to your 3D floor plan, so every role sees exactly what they need.

View Solution

Quality Gate Monitoring

Quality gates catch bad parts, but they do not tell you why a station started failing. Sandhed maps pass/fail rates and SPC data to your 3D floor plan so you can trace defect patterns back to the source station in minutes, not days.

View Solution

Related Resources

Answer

How to Improve OEE: The 5 Levers That Actually Move the Number

OEE is the product of availability, performance, and quality. Most plants know their OEE number but can't pinpoint which of the three factors is dragging it down or why. Improving OEE requires decomposing the score, finding hidden losses in each category, and connecting production data to spatial context so you can see where on the floor the problems actually live.

Read answer
Answer

Why Does My Production Line Keep Stopping?

Most unplanned stops come from a short list of causes that compound each other. Sensor blind spots, delayed maintenance response, equipment running past rated cycles, power quality events, raw material drift, PLC faults, and shift-change errors account for the majority of lost production time. Fixing them requires data correlation, not more dashboards.

Read answer

See Your OEE Mapped to Your Floor Plan

We will model your actual floor plan and show you how Sandhed tracks OEE per machine in real time. No generic demo.