Covestro leverages OSIsoft PI to the max with TrendMiner analytics
Available on demand
Covestro is a leading chemical company that produces polyurethanes, polycarbonates and specialty chemicals. Their key production goals are to achieve sustainable growth, efficiency and continuous innovation to deliver competitive costs.
In this live presentation from the OSIsoft User Conference 2017 in London, Tim Timmermans discusses the industrial analytics journey of Covestro Antwerp. He shares a variety of practical use cases including: golden batch fingerprinting, hypothesis testing, root case analysis for bad product quality and loss accounting.
Watch this presentation to learn how Covestro used self-service analytics to:
1. Improve production control
2. Reduce operational costs
3. Reduce emissions and energy consumption
4. Increase production efficiency
5. And enhance knowledge capture
2. Reduce operational costs
3. Reduce emissions and energy consumption
4. Increase production efficiency
5. And enhance knowledge capture
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Why watch this presentation?
Get an engineer's view on the practical value of self-service analytics
Innovation
Learn how Covestro Antwerp turned big data generated by industrial processes into an advantage, and how they used data captured in OSIsoft PI to create new insights and generate additional value.
Learn how Covestro Antwerp turned big data generated by industrial processes into an advantage, and how they used data captured in OSIsoft PI to create new insights and generate additional value.
Speed
Discover how adding TrendMiner analytics provided Covestro Antwerp with an easy, simple and fast way to find direct answers in process data – without the need for big data modelling projects.
Discover how adding TrendMiner analytics provided Covestro Antwerp with an easy, simple and fast way to find direct answers in process data – without the need for big data modelling projects.
Insight
Find out how TrendMiner’s active learning and collaboration features helped Covestro Antwerp to quickly and easily capture and transfer knowledge, reducing onboarding time and facilitating innovation.
Find out how TrendMiner’s active learning and collaboration features helped Covestro Antwerp to quickly and easily capture and transfer knowledge, reducing onboarding time and facilitating innovation.
Presented by: Tim Timmermans
Operational Expert, Covestro Antwerp
Tim Timmermans is a process engineer who has been working at Covestro for more than five years. As Covestro’s Operational Expert PET in Antwerp, Tim is responsible for overall plant performance optimization and cost reduction through analytics-based process analysis. His work focuses on key areas including DCS migration, defect elimination and root cause analysis. Tim holds a Master’s degree in Industrial Sciences, with special focus on polymer and sustainable engineering.
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