Developing control rules for an AGV using Markov decision processes

An Automated Guided Vehicle (AGV) system is modeled using Markov Decision Processes. Generalized control rules for scheduling AGVs are extracted from the optimal control policies. The job throughput (deliveries per time) using the control rules is compared to the optimal policy and to current control rules used in industry today.