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Ashland - analytics for the factory of tomorrow

Available on demand
 
Ashland is a pure, specialty chemicals company that is constantly looking for ways to make their production process safer and more efficient. In this webinar, Jan Mereleire shows how Ashland uses TrendMiner self-service analytics to support the transformation and digitalization of their chemical processing plant. See actual use cases and learn more about the benefits Ashland achieved.
 
Watch this webinar on demand to learn how Ashland:
1. Supported their journey to transformation with analytics
2. Solved previously unsolvable production issues
3. Implemented real-time process monitoring
4. Enhanced reliability, quality and profitability
5. Increased GMP production throughput
Ashland webinar
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Why watch this webinar?
Discover the value of self-service industrial analytics in practice
 
From vision
Discover why Ashland chose to use analytics to help drive their transformation initiative. Jan shows why analytics-based insights were so helpful during the plant's transition from producing chemicals for construction to new products for pharmaceuticals.
 
To reality
Learn how Ashland uses analytics on today's process data to lead their plant into the future. You'll hear how a self-service approach made solving daily issues easier, faster, as well as how TrendMiner delivers more benefits than expected.
 
Into the future
Hear Ashland's plans to broaden their future use of TrendMiner industrial analytics within their corporate vision. Learn how Ashland plans to extend real-time process monitoring and predictive analytics on asset performance to continue improving.
Jan Meireleire
Presented by: Jan Meireleire
Engineering Manager, Ashland
 
Jan Meireleire is a chemical engineer with experience in plant operations as well as process design and technology. He has more than 17 years' experience in the industry, mainly as a process engineer. Jan has been working at Ashland since 2008. Today, he manages the Ashland Process Engineering department as well as the Engineering department of the Doel plant. He is responsible for optimizing the present assets in terms of quality, cost and throughput. Jan holds a chemical engineering degree from KU Leuven.
 
“We wouldn’t be where we are today in over-achieving our goals without TrendMiner. Industrial analytics is crucial for optimizing our production process and meeting our organizational objectives.”