Enhancing Efficiency in the Process Industry with Advanced Supervisory Control
Overview
The process industry faces unique challenges that demand sophisticated solutions for production forecasting, risk management, and optimisation. This webinar will highlight the importance of addressing these solutions to maintain competitiveness and drive innovation.
This is part of a webinar series that will highlight the Process Industry Support Package, which is a collection of tools focused on addressing the unique challenges of the process industry. This webinar will focus on the supervisory control segment and how it can optimise production, reduce risk, and improve operational efficiency.
Supervisory Control: Explore the realm of supervisory control, focusing on timeframes from minutes to days. Understand the integration of a typical Distributed Control System (DCS) used to operate the plant and Advanced Process Control (APC) unit running within the Operational Technology (OT) network as well as discover the capabilities of OPC-UA integration and physical plant modelling. These concepts will be demonstrated using a model of mineral processing operations, highlighting the realisation of higher-level algorithms such as predictive maintenance strategies, techno-economic optimisation, and controller calibration.
About the Presenter
Samuel Oliver is a technical consultant from MathWorks who has dedicated the last 16 years to working closely with customers from the finance, mining, energy, defence, and automotive industries to help execute their most important projects delivering millions of dollars of value. Solutions leverage his broad range of skills in AI, statistics, optimisation, control systems, physical system modelling, big data, large-scale computing, the cloud, and embedded systems. Prior to joining MathWorks, Sam worked in the automotive industry developing advanced dynamic safety-critical control systems. He received an M.Eng.Sc. in mechatronics, a B.Eng. in mechanical and manufacturing engineering, and a B.Sc. in computer science from the University of Melbourne, Australia.
Branko Dijkstra is a principal technical consultant specialising in Model-Based Design for process industry optimisation. Prior to joining MathWorks, Branko was an engineering manager for the development of automotive climate control and electric vehicle thermal management systems. Before that, he worked in the microlithography industry. Branko received his M.E. based on his work modelling a batch crystallization plant. He received his Ph.D. in control engineering (microlithography) from Delft University of Technology, The Netherlands, based on his thesis Iterative Learning Control, with Applications to a Wafer-Stage.
Product Focus
This event is part of a series of related topics. View the full list of events in this series.
