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Use case

Spray Dryer Performance Overview in Milk Powder Production

Pablo Sanchez
,
Industry Principal - Food & Beverages
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The Challenge

Spray dryers are critical in milk powder production — they consume the most energy and complete the drying process. Tracking their performance is essential, especially when comparing multiple plants.

The Goal

  • Monitor spray dryer phases and status
  • Contextualize downtimes, anomalies, and startups
  • Enable plant-to-plant performance comparison

The Approach

  • Phase Detection & FollowUp: used step tags to detect and classify phases, applying valuebased searches and realtime monitors for full tracking.
  • Shutdown Contextualization: linked controlled and emergency shutdowns to phases, integrating all info into a unified view.
  • Startup Delay Highlighting: applied color coding to mark delayed startups in red based on duration, making anomalies visible.
  • Dashboard Integration: combined a Gantt chart of phases, a startup table with color coding, and a shutdown table with event counter.

Insight

All key events are now visible in one dashboard — enabling faster decisions and crossplant benchmarking.

The Results

Feature Outcome
Performance Overview Clear view by plant and time range
Event Contextualization All downtimes and anomalies tracked
Flexibility Adaptable analysis by timeframe
Comparability Easy cross-plant performance evaluation

The Takeaway

A centralized dashboard helps teams monitor spray dryer health, compare sites, and optimize operations with clarity and speed. Want instant insights into your spray dryer performance? Let’s make every phase count.

Food & beverages
Operational Performance Management
Asset Performance Management
Process Optimization
Anomaly Detection
Asset Optimization and Monitoring
Continuous Process Improvement
Downtime Reduction
OEE Tracking
Process Health Monitoring
Production Reporting
Process Engineer
Plant Manager
Automation Engineer
Reliability Engineer
C-Suite
Quality Engineer
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The Challenge

Spray dryers are critical in milk powder production — they consume the most energy and complete the drying process. Tracking their performance is essential, especially when comparing multiple plants.

The Goal

  • Monitor spray dryer phases and status
  • Contextualize downtimes, anomalies, and startups
  • Enable plant-to-plant performance comparison

The Approach

  • Phase Detection & FollowUp: used step tags to detect and classify phases, applying valuebased searches and realtime monitors for full tracking.
  • Shutdown Contextualization: linked controlled and emergency shutdowns to phases, integrating all info into a unified view.
  • Startup Delay Highlighting: applied color coding to mark delayed startups in red based on duration, making anomalies visible.
  • Dashboard Integration: combined a Gantt chart of phases, a startup table with color coding, and a shutdown table with event counter.

Insight

All key events are now visible in one dashboard — enabling faster decisions and crossplant benchmarking.

The Results

Feature Outcome
Performance Overview Clear view by plant and time range
Event Contextualization All downtimes and anomalies tracked
Flexibility Adaptable analysis by timeframe
Comparability Easy cross-plant performance evaluation

The Takeaway

A centralized dashboard helps teams monitor spray dryer health, compare sites, and optimize operations with clarity and speed. Want instant insights into your spray dryer performance? Let’s make every phase count.

Download now

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