Date: Wednesday, June 15, 2016 Time: 11:00 AM EDT Cost: Complimentary!
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Find out how you can use your data to gain a deep understanding of your dynamic processes quickly, maximize your operations reliability and efficiency, and your asset availability. With machine learning and advanced analytics technology, you can detect and predict incipient problems or KPI deviations, identify their root causes in real-time and prescribe the best corrective action.
In this webinar, learn how a major chemical oil company teamed up with Integration Objects to engineer and build a state-of-the-art solution that empowers users to:
- Identity all of their performance gaps of the past two years on their process units, their causes and predictive models in a few clicks, by simply running analytics algorithms on two years of data.
- Monitor the health of an entire processing plant unit, reducing over 100 DCS graphical and alarm displays to 4 key dashboards that help operations focus on key issues in real-time.
- Predict abnormal conditions and identify performance gaps early, such as off spec products, high energy consumption and reduced production yields and asset efficiency.
- Detect and predict abnormal conditions that have an impact on production, quality, and safety, and determine their root causes in real-time.
- Automatically detect the plant state and operating modes and adjust KPI targets and operating limits accordingly and in real time, such as energy consumption or production capacity.
- Take corrective actions while enforcing best practices.
In energy consumption alone, some users saved tens of millions of dollars
Presenter:
Samy Achour, President, Integration Objects
Moderator:
Bill Lydon, Editor, Automation.com
