Unlocking Process Efficiency: Advanced Modelling & Simulation for the Food Manufacturing Industry
Overview
The food processing industry is facing complex challenges driven by supply chain disruptions and rising operational costs. The ability to simulate complex food manufacturing plants, optimize process controls in real-time, and integrate data analytics to forecast production performance is becoming increasingly relevant in the industry. Regardless of whether your operations involve continuous processes or discrete manufacturing, digital simulation provides significant opportunities to enhance efficiency, sustainability, and competitiveness.
Join us for a webinar where we will share how innovations in simulation and control design software developed for the Automotive and Aerospace industries is applied to the food industry to empower engineers and managers.
Highlights
Unified Simulation and Control Design with MathWorks Simulink
Discover how a modelling environment enables rapid prototyping and simulation of both continuous and discrete processes within a single platform, supporting business decisions at both long-term strategic planning levels and at high-frequency production levels.
We cover continuous and discrete process modelling and simulation from foundational control design to production forecasting through two illustrative examples. While we focus on biscuit manufacturing and milk processing, the techniques apply broadly across industries such as mining, pharmaceuticals, chemicals, industrial automation and others.
Modelling Discrete Biscuit Manufacturing Lines
Dive into the world of discrete manufacturing with the simulation of a cookie/biscuit plant. From ingredient dosing and mixing to baking, cooling, and packaging, see how Simulink can accurately represent process flows, control design, machine interactions, and throughput constraints to reduce downtime, detect anomalies and improve resource use - principles that apply to any discrete production line.
Simulating Continuous and Batch Milk Processing
Explore the intricacies of simulating milk processing plants, including the dynamic behaviour of pasteurization, homogenization, and packaging. Learn how to model both continuous and batch operations, capturing critical process variables and production bottlenecks to accurately optimise and forecast production. These techniques are applicable to a wide range of continuous systems, from chemical reactors to pharmaceutical formulation lines.
Who Should Attend
This webinar is designed for process engineers, plant managers, simulation specialists, and sustainability professionals working across the food, beverage, and broader process industries. If you are looking to harness the power of digital simulation to enhance productivity, reduce costs, and minimize environmental impact, this session is for you.
Why Attend?
Gain practical knowledge on modelling real-world manufacturing systems, see live demonstrations of Simulink in action, ask our team and discover actionable strategies to future-proof your operations.
About the Presenter
Dr Peter Brady is a Principal Application Engineer with a background in numerical simulation, analysis and high-performance computing. Peter covers these areas of the MathWorks products as well as machine learning, deep learning, deployment and cloud. He has worked on numerous projects for mining companies, including mets accounting, process modelling and plant optimisation. Peter is allocated as a technical account engineer for several Australian miners to provide a single point of contact as well as support for developing technical proofs, product deep dives and specialist support to MATLAB and Simulink users. Peter has a PhD in Mechanical Engineering and a Bachelors in Civil Engineering, both from UTS, and is a Chartered Practicing Engineer with Engineers Australia (CPEng NER).
Dr. Branko Dijkstra is a Principal Technical Consultant specialising in modelling and controls in the Process Industry. He joined MathWorks after several years working in the automotive, microlithography and food manufacturing industries. As consultant he has worked with customers in a wide range of industries such as automotive, aerospace, microlithography, chemical, water treatment, mining, environmental protection, healthcare, consumer electronics and food. Central to all these engagements has been the premise of using systematic modelling and data analysis as the basis for understanding and improving processes, including deployment of automatic systems into the field.
Branko received his M.Eng. based on his work modelling a batch crystallization plant and he received his Ph.D. in control engineering (microlithography) both from Delft University of Technology, The Netherlands.
