Analysis of Innovative automated warehouses through discrete event simulation. Order picking (OP) is the most costly and resource-consuming action in warehouses. Some scholars argue that OP could employ up to 55% of overheads in a warehouse for firms handling large volumes of items that are shipped frequently. It is becoming increasingly challenging for order picking systems designers because of increases in labor costs, limited space, and increasingly frequent small orders with short delivery times. Consequently, considerable effort is devoted to developing new, innovative picking solutions that reduce operation costs, increase productivity, optimize space utilization, and improve customer service levels. This project aims to provide a new solution for order picking and innovative ideas about evaluating and comparing different autonomous vehicle storage and retrieval systems (AVS/RS) through a simulation study of the systems operation in an automated warehouse.