Rajeev Gangwar
Applications

Live Tools & Demos

Interactive supply chain applications you can explore. Each tool demonstrates a specific analytical capability — adjust parameters, visualize trade-offs, and see the math in action.

S
Simulation
Live

Supply Chain Simulation

Interactive discrete-event simulation model for spare parts supply chain. Adjust demand variability, lead times, and inventory policies to see real-time impact on costs and service levels.

PythonSimulationDES
T
Optimization
Coming Soon

Total Landed Cost Calculator

Calculate the true cost of sourcing from different regions — including freight, duties, tariffs, insurance, and lead time costs. Compare scenarios to find the optimal sourcing strategy.

PythonCost AnalysisTrade
App coming soonGitHub
D
Analytics
Coming Soon

Demand Forecasting Explorer

Compare forecasting methods head-to-head — moving average, exponential smoothing, Croston's method, and ML models. Upload your own data or use sample datasets to see which method works best.

PythonMLForecasting
App coming soonGitHub
N
Optimization
Coming Soon

Network Optimization Visualizer

Visualize supply chain network design trade-offs. Add facilities, set service level targets, and watch the optimizer find the lowest-cost network configuration in real-time.

GurobiORVisualization
App coming soonGitHub
RG
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