As the complexity increases in automation, the need to validate system functionality through digital simulation becomes more important. Determining how to optimize simulation methods can save time, money, and manpower. These simulation models help reduce the risk associated with project investment and increase the likelihood of the implementation of further successful automation. Beyond throughput analysis, a digital twin can validate component selection, programming software, and system feasibility. Understanding the available tools and software to create simulations will better enable companies to make smart decisions on designs. It will allow the engineering team to validate interactions between automation equipment and operators.