➤ Why combine simulation with analytical models when studying supply chains?
Analytical models give closed-form insight into trade-offs and design rules. Simulation (discrete-event or Monte Carlo) captures stochastic dynamics, nonlinearities, and transient effects. Combining both lets you validate theoretical policies, explore realistic scenarios, and estimate performance distributions under variable demand, lead times, and behavioral ordering rules.
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