Discover the benefits of OEE in manufacturing operations. Learn how to boost efficiency and productivity to achieve optimal performance.
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2. About the Topic
Overall Equipment Efficiency
tracking is a data-driven
approach used to measure the
effectiveness of your equipment
in producing goods or services.
It considers three key factors:
availability, performance, and
quality. These factors are then
multiplied together to get an
overall OEE score, which ranges
from 0 to 100%.
3. 1. Data Visualization
Power BI can help production
companies track OEE by providing
real-time data visualization
dashboards that can show the
performance of each machine or
equipment.
This allows production managers
to identify areas of inefficiency in
their production process and take
corrective actions quickly.
4. 2. Integration
Power BI can integrate with
different data sources like
Microsoft Excel or SQL Server to
collect and analyze data from
different production systems.
This makes it easier for
production managers to get a
complete view of their
production process and identify
the root cause of any issues.
5. 3. Customizable Reports
Power BI allows production
companies to create customized
reports showing different KPIs (key
performance indicators) related to
OEE trackings, such as machine
utilization, downtime, and
production yield.
This helps production managers to
identify opportunities for improving
production efficiency and
profitability.
6. 4. Machine Learning
Power BI can be used to
implement machine learning
algorithms to predict potential
issues with the equipment or
machines.
This allows production
companies to take preventive
measures to avoid downtime
and improve overall production
efficiency.
7. 5. Mobile App
Power BI can be accessed
through a mobile app, which
allows production managers to
monitor the production process
from anywhere and anytime.
This provides real-time visibility
into production operations and
helps managers make informed
decisions quickly.
8. Conclusion
Power BI is a good fitting tool for
tracking OEE in production
companies.
It provides real-time data
visualization, integrates with
different data sources, provides
customized reports, and allows
the implementation of ML
algorithms to improve
production efficiency.
9. Thank You For Reading!
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