Data Analytics Improves Potato Starch Quality & Yield
Avebe captures, retains knowledge as part of its digitalization journey
Founded in 1919, Royal Avebe is the No. 1 potato starch and potato protein company in the world. It produces and provides solutions for food, animal feed, paper, building, textile, and adhesive applications for the global market, and develops new opportunities and applications with a focus on sustainable continuity. Annually, the company processes about 3 million tons of potatoes in Germany, Sweden, and The Netherlands. Avebe employs more than 1,300 workers and more than 2,300 farmers are part of the cooperative. Its vision? “To run a sustainable, value adding operation with consistent high quality in which people and innovation can flourish.”
After making a change in its enterprise resource planning (ERP) software and interfacing with a new manufacturing execution system (MES), Avebe turned to OSIsoft (now AVEVA) PI as a historian to collect time-series data. It then realized that it needed a partner for its analytics journey, and it chose TrendMiner to help them get the most from their operational data.
Using TrendMiner, Avebe has been able to work toward its goal of achieving world class operations management. TrendMiner helps the company meet the business drivers of digitalization, including:
Decrease operating costs by helping to optimize manufacturing processes
Reduce utility usage by increasing the overall energy efficiency of processes, as well as better manage water and wastewater
Improve overall product quality
Increase process capacity by eliminating the source of frequent shutdowns
Increase the product throughput and yields
Reduce overall business risk and improve the bottom line
In this presentation, Jan Spijkerman and Tom Wassink discuss their Operations and Manufacturing IT strategy, the role OsiSoft and TrendMiner had in their digital transformation, and the challenges they faced.
Watch to learn about more their company, their reasons for implementing digitalization into their operations, and to see use cases that demonstrate the value Avebe is gaining from self-service analytics.