AI Simulation Workspace

🎯 Advanced Simulation Engine

Running 4 active simulations • Monte Carlo analysis active • Optimization potential: +24.7%

🎯

OPTIMIZATION

Peak Demand Scenario Analysis

AI simulations predict 35% demand spike next week. Monte Carlo models recommend proactive capacity increase of 180 workers to maintain 95% efficiency during peak period.

Confidence: 96.4% Additional workers: 180 Efficiency maintained: 95%

⚙️

WHAT-IF

Equipment Failure Impact Analysis

Simulation models show critical dependency on Assembly Robot A1. If failure occurs, cascading effects reduce overall throughput by 42% within 3 hours. Backup strategies modeled.

Failure impact: -42% Recovery time: 8.4 hours Backup ROI: $47K saved

📊

FORECASTING

Seasonal Capacity Planning

Advanced ML forecasting identifies quarterly patterns. AI recommends dynamic staffing model with 25% seasonal flex capacity to optimize cost-efficiency balance year-round.

Cost savings: $240K/year Flex capacity: 25% Efficiency gain: +12%

🎮 Simulation Control Center

4 simulations running

Scenario Type

Time Horizon

Impact Severity 35%

Affected Lines

All Lines Assembly Only Quality Control Packaging

Variables to Monitor

Throughput Queue Depth Resource Utilization Cost Impact

Peak Demand Simulation

Running

73% Complete

Iterations: 7,340 / 10,000

ETA: 4 minutes

Equipment Failure Analysis

Completed

Impact: -42% throughput

Recovery: 8.4 hours

Optimization Model

Paused

45% Complete

Seasonal Forecast

Queued

Position in queue: #2

Estimated start: 12 minutes

Simulation Results: Peak Demand Impact

Scenario Comparison

Current State

Efficiency: 87.3%

Throughput: 2,450 units/day

Cost: $32.75/unit

Optimized Scenario

Efficiency: 92.1% (+4.8%)

Throughput: 3,050 units/day (+24.5%)

Cost: $29.40/unit (-10.2%)

Worst Case

Efficiency: 64.2% (-23.1%)

Throughput: 1,820 units/day (-25.7%)

Cost: $41.20/unit (+25.8%)

Monte Carlo Simulation Results

Scenario	Iterations	Confidence	Best Case	Expected	Worst Case	Risk Level	Action
Peak Demand Response	10,000	96.4%	+34% efficiency	+24.7% efficiency	+12% efficiency	Low	📊 Implement
Equipment Redundancy	15,000	94.1%	+18% reliability	+12.3% reliability	-2% reliability	Medium	⚠️ Review
Workforce Flexibility	8,500	91.7%	+28% adaptability	+19.2% adaptability	+8% adaptability	Low	🎯 Deploy
Process Automation	12,000	87.3%	+45% productivity	+31.5% productivity	-8% productivity	High	🚨 Assess

Simulation History

Q4 Capacity Planning

Completed 2 days ago • 15,000 iterations

Result: +18% efficiency gain identified

Equipment Failure Impact

Completed 5 days ago • 10,000 iterations

Result: Backup strategy ROI $47K

Demand Surge Analysis

Completed 1 week ago • 8,500 iterations

Result: Resource allocation optimized