In this presentation we highlight three emerging technologies that appear to be truly disruptive; that is, they are likely to have such a large impact that they will change the way theoreticians and practitioners think about and accomplish manufacturing and process control. These technologies are Economic Model Predictive Control (EMPC), Deep Reinforcement Learning (DRL), and Open Process Automation (OPA). Economic MPC (EMPC) is a relatively new technology that combines economic optimization with Model Predictive Control. This unification of closed-loop scheduling, economic optimization, and dynamic control provides a new platform for viewing and analyzing manufacturing problems. Reinforcement Learning (RL) is a Machine Learning (ML) technology in which a computer agent learns, through trial and error, the best way to accomplish a particular task. It is likely that DRL will take over some of the more mundane tasks involved in managing manufacturing systems, such as tuning of PID controllers, mitigating disturbances, and recovering from process upsets. Open Process Automation (OPA) will allow manufacturers, whose innovations have been constrained for decades by the limitations of closed, proprietary systems, to experience the benefits of open, interoperable, resilient, secure-by-design automation systems. This will be made possible by the development of the consensus-based Open Process Automation Standard (O-PAS) by the Open Process Automation Forum (OPAF). Speaker(s): Dr. Badgwell, Virtual: https://events.vtools.ieee.org/m/402236