Hands-on discrete-event simulation experience (e.g., AnyLogic, Simio, SimPy, Arena, or custom engines), plus deep knowledge of production systems, process flow, queueing, capacity analysis, line balancing, time studies, and design of experiments. Map production processes, conduct time studies, and characterize stochastic inputs—including order arrivals, cycle and setup times, failures and repairs, driver arrivals, demand, and labor variability—from operational data.