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Manufacturing Intelligence: Keep Your Processes Under Control

The current trend in manufacturing is towards tailor-made products in smaller lots with shorter delivery times. This change may lead to frequent production modifications resulting in increased machine downtime, higher production cost, product waste—and the need to rework faulty products.

Watch this webinar to learn how TIBCO’s Smart Manufacturing solutions can help you overcome these challenges. You will also see a demonstration of TIBCO technology in action around improving yield and optimizing processes while also saving costs.

What You Will Learn:

-Applying advanced analytics & machine learning / AI techniques to optimize complex manufacturing processes
-How multi-variate statistical process control can help to detect deviations from a baseline
-How to monitor in real time the OEE and produce a 360 view of your factory

The webinar also highlights customer case studies from our clients who have already successfully implemented process optimization models.
Recorded Mar 19 2019 30 mins
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Presented by
Alessandro Chimera, Manufacturing Industry Expert, TIBCO Software Inc. , Danny Stout, Sr. Solutions Consultant, TIBCO Soft
Presentation preview: Manufacturing Intelligence: Keep Your Processes Under Control

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TIBCO
TIBCO fuels digital business by enabling better decisions and faster, smarter actions through the TIBCO Connected Intelligence Cloud. From APIs and systems to devices and people, we interconnect everything, capture data in real-time wherever it is, and augment the intelligence of your business through analytical insights. Thousands of customers around the globe rely on us to build compelling experiences, energize operations, and propel innovation. Learn how TIBCO makes digital smarter at www.tibco.com.

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  • Title: Manufacturing Intelligence: Keep Your Processes Under Control
  • Live at: Mar 19 2019 10:00 am
  • Presented by: Alessandro Chimera, Manufacturing Industry Expert, TIBCO Software Inc. , Danny Stout, Sr. Solutions Consultant, TIBCO Soft
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