SUMMARY
Use Performance Analytics to measure production performance, establish performance baselines, and identify opportunities for improvement. Performance Analytics combines production KPIs and downtime analysis to help teams understand why production targets are or are not being achieved.
WHAT THIS IS
- Performance Analytics is a collection of production KPIs and analytical tools that help monitor manufacturing performance over time.
- It enables users to establish performance baselines, track trends, compare results against targets, and investigate the causes of production losses using downtime analysis.
WHY IT MATTERS
- Measuring performance helps teams understand current production output and identify opportunities for improvement.
- By combining production KPIs with stop registration, Performance Analytics provides visibility into both production results and the reasons behind lost performance.
- This information supports data-driven decision making and continuous improvement.
WHEN YOU WOULD USE THIS
- Use this when:
- Reviewing historical production performance.
- Establishing production performance baselines.
- Monitoring KPI trends over time.
- Investigating why production targets were not achieved.
HOW IT WORKS
- Performance Analytics collects production data from connected sensors and calculates a range of production KPIs.
- Users can select different time periods to review historical performance and use trend views to understand how KPIs change over time.
- When production performance falls below expectations, downtime analytics can be used to investigate the recorded stop causes that contributed to lost production.
- Stop causes can also be grouped into OEE categories to support OEE analysis and reporting.
KEY TERMS / COMPONENTS
Production KPI
- A metric used to measure production performance over a selected period.
Trend View
- A view that displays how KPIs change over time.
Downtime Analytics
- Analysis of machine stops and their recorded causes to identify production losses.
Stop Registration
- The process of assigning a reason to detected machine stops for reporting and analysis.
OEE Categories
- Groups of stop causes used to analyze equipment effectiveness and production losses.
COMMON MISUNDERSTANDINGS
- Performance Analytics does not only measure production output. It also helps explain lost performance through downtime analysis.
- Stop registration does not detect machine stops. Factbird automatically detects machine stops and records the associated stop causes separately.
- KPIs should be evaluated over an appropriate time period to establish meaningful performance baselines and trends.
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