Where are you losing production?
GI4 brings together running times, machine states and downtime causes. Start with overall equipment effectiveness (OEE), then explore the detail to decide where to act.
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The questions on this page
- “The batch OEE is 66%: is the machine underperforming?”The figure flags the loss. The times explain it.
- “What did this machine do yesterday?”Separate production, pauses and faults
- “Of the last few batches, which one went worst?”Compare batches, then open the detail
- “The line stopped for 40 minutes. Why?”Record the reason for each stop
- “The target was set by the person judged on the result.”Read OEE alongside its underlying figures
The problem
“The batch OEE is 66%: is the machine underperforming?”
The figure flags the loss. The times explain it.
A real case: a dryer produced 84.2 kg/h against a target of 70, with no rejects. Yet the batch OEE was 66.2%.
The batch view shows why: 18 hours and 20 minutes producing, almost 15 hours waiting for material and around half an hour stopped by a fault. Improving the material supply was the priority.
The problem
“What did this machine do yesterday?”
Separate production, pauses and faults
The timeline shows when the machine is producing, paused or stopped by a fault, alongside the batches processed. Select an interval to recalculate the figures for that period.
You can also see brief stops. Separating pauses from faults helps distinguish a machine problem from a wait for material.
The problem
“Of the last few batches, which one went worst?”
Compare batches, then open the detail
Each batch shows OEE, quantities, rejects and duration. Click its code to open the analysis for that production period.
View OEE by machine, batch, shift, day, week or month. Choose the comparison that answers your question.
The problem
“The line stopped for 40 minutes. Why?”
Record the reason for each stop
The operator selects a cause from a list tailored to the machine, with a few clicks on the panel. Where configured, a cause must be assigned before restarting.
MIO shows stops, duration and each cause’s share of downtime in an exportable table. Short, clear lists help operators record useful data.
The problem
“The target was set by the person judged on the result.”
Read OEE alongside its underlying figures
GI4 calculates OEE from availability, performance and quality. It converts production into minutes at the nominal rate, so it can combine results without taking simple averages of percentages.
Values above 100% remain visible and flag a target to review. Fault time has a separate indicator; when rejects are not measured, quality is not presented as a confirmed figure.
At a glance
- OEE by batch, machine, day, week, month and shift
- Machine states over time, micro-stops included
- Downtime causes assigned by operators, per machine
- Hourly target versus actual output
- Breakdown time measured separately, alongside OEE
Other topics
Recipes and parameters Retrieve recipe versions and compare them with the machine.
Batches and traceability Compare production runs and start from a previous batch.
MIO: dashboards and analysis Read settings, measurements, rejects and consumption together.
Connecting machines and systems Connect machines and business systems, with data kept in-house.
Operators and access Identify operators and trace their changes.
Let’s start with your machines.
Tell us what you want to improve. Together, we check which data we can collect and how to connect your plant before preparing a quote.
- 8plants in operation
- 4industries
- 28machines connected in the largest installation, across 11 lines