Enhancing Efficiency in the Process Industry with Advanced Production Forecasting
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 production forecasting segment and how it can optimise production, reduce risk, and improve operational efficiency.
Production Forecasting: Gain insights into production forecasting over various time horizons—from weeks to years. Learn about large scope studies and the tools that facilitate optimisation, including parallel computing, cloud deployment, and database management. We will cover key aspects such as production line forecasting, risk assessment, optimisation, and planning. These concepts will be demonstrated using a model of a mining operation, showcasing practical applications of these forecasting tools.
Highlights
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 production forecasting segments and how it can optimise production, reduce risk, and improve operational efficiency.
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.
