Supply Chain Simulation
Why this use case matters
Shipping, delivering & stocking inventory depends on getting every step in the supply chain right. The ability to model this entire process and run multiple simulations under different operating conditions helps improve efficiency and cut costs.
Techniques
Optimization, Simulation
Algorithms
Stochastic Forecasting, ANNs, Filtering, Bracketing, tabu search, Monte Carlo, Rein-forcement Learning, RSM, Policy gradient methods
Outcome
Allows manufacturing managers to identify weak links, provide better visibility, improve customer service levels, and identify cost- efficient policies and procedures.