Title: Big Data in Manufacturing Systems with Internet-of-Things Connectivity”
Abstract: As we move into an era of more connected, smarter manufacturing systems, a number of opportunities and challenges arise. The connecting of plant floor sensors and actuators via Internet of Things (IoT) technology has the ability to transform manufacturing systems operations. More data available in real-time, combined with high-fidelity simulation data and cloud computing, enables the supply chain to be directly connected with operations on the factory floor, and the current status of parts and machines. Thus far, most of the work on IoT-enabled manufacturing systems has focused on the integration of the large volumes of data gathered with IoT-devices and their transformation into useful information, through advanced analytics. To become smarter, manufacturing systems need to close the loop and transform IoT data into manufacturing knowledge and useful actions. Closing the loop will allow manufacturing systems to become more responsive to market changes and customer desires, and will improve production quality, asset utilization, and profitability. To realize these goals, the future of IoT-enabled manufacturing requires closer collaboration between experts in control, manufacturing, and information systems. This talk will discuss the current trends in data collection, including the types of data and the uses for analytics and predictions, and the opportunities for closed-loop control. A case study on a small manufacturing systems testbed is used to validate the approaches.
Bio: Dawn Tilbury holds a Ph.D in Electrical Engineering and Computer Science and an MS in Electrical Engineering, both from the University of California-Berkeley, and an BS in Electrical Engineering from the University of Minnesota. Her research interests include control theory and applications; logic control for manufacturing systems including diagnostics, fault handling, and recovery; modular control systems; networked control systems; performance management of computing systems; web-based tutorials for controls education. Her many honors and awards include a Distinguished Engineering Educator Award from the Society of Women Engineers; an American Society of Mechanical Engineers Fellow; a Service Excellence Award from the U-M College of Engineering, and an Institute of Electrical and Electronics Engineers Fellow. She currently serves in a leadership position at a federal funding agency.