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Batch Performance Analysis

SUMMARY

Use Batch Performance Analysis to review how a completed production batch performed compared to its planned targets. This helps manufacturers understand timing, output, downtime, and efficiency for individual batches after production is complete.

 

 

WHAT THIS IS

  • Batch Performance Analysis is the ability to review historical production batches and compare planned production data against actual production results.
     
  • The analysis is centered on a single completed batch and provides visibility into operational performance metrics such as start and stop times, produced quantity, scrap, speed, downtime, and OEE.
     
  • The system connects batch information with analytics tools so production teams can evaluate how a batch performed across different operational views.
     

WHY IT MATTERS

  • Batch Performance Analysis helps manufacturers understand whether production batches are running as expected.
     
  • By comparing planned values with actual results, teams can identify:
    • Delays or early starts
    • Production overruns
    • Output differences
    • Speed performance issues
    • Downtime patterns
    • Efficiency trends
       
  • This makes it easier to evaluate production consistency and improve future batch performance.
     

WHEN YOU WOULD USE THIS

  • Use this when:
    • Reviewing completed production runs
    • Comparing planned production targets to actual results
    • Investigating why a batch finished late or early
    • Evaluating downtime during a specific batch
    • Measuring OEE for an individual production batch
    • Analyzing scrap or production speed for a completed batch
       

HOW IT WORKS

  • Each batch contains both planned production information and actual production data collected during execution.
     
  • Completed batches can be identified by their status and opened for analysis. The batch view displays core production KPIs, including:
    • Planned versus actual start and stop times
    • Planned versus produced quantity
    • Scrap values
    • Expected and validated production speed
       
  • The batch also acts as a filter context for other system views. When a user opens related analytics pages from the batch view, the system automatically limits the data to that specific batch.
     
  • This allows production teams to review:
    • Downtime events related only to the batch
    • OEE calculations for the batch
    • Live Graph history for the batch period
    • Control activities connected to the batch
       
  • The result is a focused analysis of one production run without mixing data from other batches or production periods.
     

KEY TERMS / COMPONENTS

  • Batch:
    • A defined production run for a specific product or quantity.
       
  • Planned Start and Stop:
    • The scheduled production times defined before the batch begins.
       
  • Actual Start and Stop:
    • The real production times recorded during execution.
       
  • Produced Amount:
    • The quantity actually produced during the batch.
       
  • Scrap:
    • Material or products rejected during production.
       
  • Expected Speed:
    • The target production speed planned for the batch.
       
  • Validated Speed:
    • The measured or confirmed production speed achieved during the batch.
       
  • Downtime Analysis:
    • A view showing stops and interruptions that occurred during the batch.
       
  • OEE:
    • Overall Equipment Effectiveness measured specifically for the batch.

       

COMMON MISUNDERSTANDINGS

  • Batch Performance Analysis is not limited to production quantity tracking. It also includes timing, downtime, speed, and efficiency analysis.
     
  • Viewing analytics from a batch does not show factory-wide data. The system filters the information to the selected batch only.
     
  • A batch finishing with the correct produced quantity does not necessarily mean the batch performed efficiently. Timing delays, downtime, or speed losses may still affect performance.

 

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