Big Data in Industrial Food Process Systems: A Case Study from Milk Powder Processing
Professor Brent R Young - University of Auckland
Professor of Food and Process Systems Engineering
Chair of the Food and Health Programme
Department of Chemical and Materials Engineering
University of Auckland
The term “Big Data” characterised by volume, velocity, variety and veracity, is rapidly gaining attention, both by vendors providing novel IT solutions, and manufacturers wondering how best to take advantage of these new offerings. While the application of big data is not unusual in the food industry, to date it has been primarily restricted in the dairy industry to the management of herds using genetics to increase milk production. The application of big data mining techniques and analytics to dairy manufacturing is still relatively new. This presentation will highlight both the advantages and suggest some cautions of using big data approaches in the food industry via reference to the industrial production of milk powder.
Brent Young is a Professor in the Department of Chemical and Materials Engineering at the University of Auckland. He holds the position of Chair in Food & Process Systems Engineering, Director of the Industrial Information and Control Centre (I2C2) and Chair of the Food and Health Programme.
With a PhD in Chemical & Process Engineering he has significant experience in process simulation and control as well as process development and design.
His research turns process data into useful information (by using mathematical modelling) to design and optimise manufacturing processes, in particular in the application areas of food and energy.
This seminar will be held in Seminar Room 1 located upstairs at the ASB Show Grounds. Access to this area is via the staircase located to the right of Show information in the main Show Ground entrance. Please follow signage or ask show information for more details.