Simulation Modeling
Transform uncertainty into strategic advantage. Test thousands of scenarios in minutes.
Predict disruptions, optimize inventory under variability, and build resilient supply chains. Reduce risk by 60% while achieving 99%+ service levels.
Simulation Configuration
Uncertainty is Expensive. Make it Manageable.
Traditional planning assumes averages. Real supply chains face variability. Simulation bridges the gap between theory and reality.
Deterministic Planning
- ×Single-point forecasts and averages
- ×Ignores variability and correlation
- ×No risk quantification
- ×Reactive to disruptions
- ×Over or under stock inventory
- ×Surprises during execution
Simulation-Based Planning
- ✓Full probability distributions
- ✓Models real-world variability
- ✓Quantified risk metrics
- ✓Proactive contingency plans
- ✓Optimized safety stocks
- ✓Confidence in outcomes
Your Path to Predictive Excellence
Five steps to transform uncertainty into strategic advantage
Define Variables
Configure uncertainty parameters and probability distributions
Demand, lead time, disruptions, and more
Select Simulation Type
Choose the right simulation approach for your analysis
Monte Carlo, discrete event, or hybrid
Set Scenarios
Define baseline and what-if scenarios to test
10,000+ scenarios in parallel
Run Simulations
AI executes thousands of simulations in minutes
Cloud-powered parallel processing
Analyze Results
Get probability distributions and risk metrics
Confidence intervals and recommendations
Complete Control Over Your Simulations
Model every aspect of uncertainty with advanced simulation capabilities
Variable Configuration
Model any combination of supply chain uncertainties with appropriate distributions
Demand Variability
Lead Time Variability
Disruption Events
Capacity Fluctuation
Quality Issues
Supplier Reliability
Transport Variability
Weather Impact
Price Volatility
Seasonality
Advanced Simulation Methods
Choose the right simulation approach for your specific analysis needs
Monte Carlo
Statistical sampling for risk analysis
Discrete Event
Process flow and queue modeling
Agent-Based
Individual entity behavior modeling
System Dynamics
Feedback loops and delays
Hybrid Models
Combined simulation approaches
Risk Analysis Outputs
Comprehensive risk metrics and probability distributions
Risk Metrics
- Value at Risk (VaR)
- Conditional VaR
- Risk Exposure
Performance
- Service Level Distribution
- Fill Rate Probability
- OTD Confidence
Financial
- Cost Distribution
- Revenue Impact
- Working Capital Range
Probability Distributions
Automatic distribution fitting and custom configuration options
Auto-Fit Distributions
AI automatically identifies best-fit distributions from your historical data
Custom Distributions
Define custom distributions for specific scenarios or expert knowledge
Correlation Modeling
Model dependencies between variables for realistic scenarios
Note: Supports 15+ distribution types including Normal, Log-Normal, Poisson, Weibull, and more
Test Every Possibility. Choose with Confidence.
Compare scenarios side-by-side to find robust strategies
What-If Analysis at Scale
Test thousands of scenarios simultaneously to understand the full range of outcomes
- Parallel Scenarios
Run multiple what-if scenarios in parallel
- Sensitivity Analysis
Understand impact of each variable
- Robust Optimization
Find solutions that work across all scenarios
Scenario Comparison
Transform Uncertainty into Competitive Advantage
Build resilient supply chains that thrive in volatility
60% Risk Reduction
Proven protectionIdentify and mitigate supply chain risks before they impact operations
99%+ Service Level
Despite uncertaintyMaintain high service levels even under extreme variability
30% Less Safety Stock
Lower inventoryOptimize inventory buffers with precise risk quantification
85% Faster Response
When disruptedPre-tested contingency plans for rapid disruption response
Real-World Success Stories
See how leading companies use simulation to navigate uncertainty
Pandemic Response Planning
Preparing supply chain for sudden demand spikes and supply disruptions
200% demand surge, 50% supplier capacity reduction, port closures
Simulated 5,000 pandemic scenarios with varying severity levels
Maintained 95% service level during actual crisis, $8M saved
New Product Launch
Uncertain demand for innovative product category
No historical data, high forecast uncertainty (±80%), limited capacity
Monte Carlo simulation with multiple demand distribution scenarios
Right-sized inventory investment, avoided $2M in excess stock
Multi-Echelon Inventory
Optimizing safety stock across 3-tier distribution network
Complex interdependencies, varying lead times, demand correlation
System dynamics simulation of entire network under variability
30% inventory reduction while improving service by 5%
Climate Risk Assessment
Evaluating supply chain resilience to extreme weather events
Increasing frequency of disruptions, regional dependencies
Agent-based modeling of climate scenarios over 5-year horizon
Identified 3 critical vulnerabilities, implemented targeted mitigation
Measurable Risk Reduction
Quantified improvements from simulation-based planning
Why Choose Lagrange.AI for Simulation
Advanced capabilities that deliver superior insights
Advanced Statistical Models
Beyond simple averages - full probability distributions and correlations
Real-Time Simulation
Update simulations with live data for continuous risk monitoring
Digital Twin Integration
Simulate on your exact supply chain structure and constraints
Optimization Under Uncertainty
Find robust solutions that work across all scenarios