Overall Equipment Effectiveness (OEE) using
Real-time Predictive maintenances
QualityLine AI Analytics provides advanced prediction and analytics algorithms for:
-Machines and testing stations performance and prediction
– Product performance and prediction
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Real-time Predictive maintenances
Machines and Testing Stations Performance:
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- Machine downtime.
- Machines OEE – based on the actual total availability of working time.
- The failed parameter that will cause the machine to be down.
- Automatically calculate the standard testing time per testing station and per assembly.
- Analyze the deviation (in %) from the standard assembly/ testing time per each assembly.
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OEE QualityLine AI Analytics
OEE
What is OEE
An OEE is a measure of how well equipment (or a complete ecosystem of machines) is performing compared to its full potential. Using this method, we can determine how much of our manufacturing time is truly productive.
The performance of OEE impacts productivity
competitiveness, and profitability
Applying Real-time QualityLine’s Predictive maintenance to your production will increase equipment availability, maintain machine throughput, and minimize material losses.
Improving OEE Quality
QualityLine predicts machines and products failure
level of each parameter. The technology will increase equipment availability and maximize cycle time. The solution production alerts you of quality defects.
“Few months after collaborating with QualityLine
real time analytics, we experienced a significant improvement in the quality of our manufactured products, reduced downtime incidents and shortened the delivery time to customers.”
Moshe Levinson
Engineering Manager, Siklu Communication, Ltd
TECH SPECS
TECH SPECS
WHY IS IT IMPORTANT?
Data integration involves combining data residing in different sources
and providing users with a unified view of them.
This process becomes significant in a variety of situations, which include both
from engineering and testing to repair of faulty products.
