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System Analysis Summa - Bottleneck
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Optimize Spark Scenarios
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Push to Twin Update Real System
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Physical System
Digital Twin
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IoT
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SCADA
Excel
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Simini
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Building Digital Twin Model
Auto Manufacturing Digital Twin
Parts
Queue
Stamp1
Stamp2
Stamp3
WeldQ
Weld1
Weld2
Paint
QC
Ship
Simulation Complete
Simini | Summa
System Bottleneck Analysis
Bottleneck
95%
Paint Station Utilization
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Spark
Paint Station - Critical
Operating at 95% capacity. This is the system bottleneck limiting throughput.
Add parallel station
Wait Time
12.4 min
Average Queue Wait
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Spark
Queue Wait Analysis
Jobs wait an average of 12.4 minutes. This delay impacts lead time.
Speed up process time
Queue Depth
8.2 units
Average Backlog
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Spark
Buffer Analysis
Average of 8.2 jobs waiting. High WIP ties up capital.
Change scheduling rule
Simini | Spark
Baseline
Current FIFO rules
—
Priority Rule
High-value jobs first
—
SPT Rule
Shortest job first
—
Dynamic Routing
Smart job allocation
—
Best Improvement
Current
847/hr
→
Dynamic
1,024/hr
+21% Throughput
Pushing to Twin...
Pushing to MES
Pushing to SCADA
Pushing to PLC
Configuration complete
Optimal Solution
Dynamic Routing
+21% Throughput
Adjusting Real System...
Updating routing logic
Deploying dynamic allocation
Syncing with production PLC
Configuration complete