deviations

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Published By: TIBCO Software     Published Date: Nov 18, 2019
On-demand Webinar 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. Speakers:
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TIBCO Software
Published By: TIBCO Software     Published Date: Jul 22, 2019
Today, you can improve product quality and gain better control of the entire manufacturing chain with data virtualization, machine learning, and advanced data analytics. With all relevant data aggregated, analyzed, and acted on, sensors, devices, people, and processes become part of a connected Smart Factory ecosystem providing: •? Increased uptime, reduced downtime •? Minimized surplus and defects •? Better yields •? Reduced cost due to better quality •? Fewer deviations and less non-conformance
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TIBCO Software
Published By: TIBCO Software     Published Date: Jul 22, 2019
On-demand Webinar 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. Spe
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TIBCO Software
Published By: Zilliant     Published Date: Oct 30, 2019
System price drift and an overabundance of price deviations are causing preventable margin leakage for MRO/industrial distributors
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mro, industrial distribution, maintenance, repair, operations, overhaul, distributor, b2b
    
Zilliant
Published By: Zilliant     Published Date: Oct 30, 2019
System price drift and an overabundance of price deviations are causing preventable margin leakage for electrical products distributors.
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electrical products, distribution, distributor, b2b, deviations, system prices, margin, price optimization
    
Zilliant
Published By: Zilliant     Published Date: Oct 30, 2019
System price drift and an overabundance of price deviations are causing preventable margin leakage for building products and construction distributors.
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building products, distribution, distributor, construction, b2b, deviations, system prices, margin
    
Zilliant
Published By: TIBCO Software     Published Date: May 05, 2020
High-volume manufacturers produce and ship large quantities of products to customers, and very high quality is expected in a competitive marketplace where customer satisfaction is an important metric. One key aspect of quality is uniformity in product characteristics over time. Uniformity can be especially important when the product is used as a component in a larger system; the compounding effects of small deviations in many components can have a large effect on ultimate system performance. With this in mind, it can be important to put in place advanced analytical solutions to automatically detect product anomalies and prevent these products from being shipped out, even though their variation(s) may still be within specifications. The last chance to do this is at the final product test point before shipping. This paper describes a multivariate machine learning solution that has been developed for semiconductor customers using the TIBCO Connected Intelligence Platform. The solution a
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TIBCO Software
Published By: Darktrace     Published Date: Apr 02, 2019
As organizations increasingly rely on cloud services and SaaS applications to streamline business practices, the familiar paradigm of the network perimeter has dissolved, leaving a porous and ever-changing digital estate in its wake. While the benefits of cloud computing will ensure that migrations continue apace, the unique security challenges presented by the cloud will not only require a more agile mindset, but also self-learning technologies that can move at the speed of cloud deployments and spot subtle deviations indicative of a threat, while providing complete, real-time visibility across the digital business. Darktrace’s world leadership in the field of artificial intelligence for cyber security makes it the most effective and proven solution to detect unprecedented threats and anomalous cyber-incidents in the cloud. Whether faced with an insider threat, an attacker targeting sensitive data in test containers, or a significant misconfiguration that could be exploited in the fut
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Darktrace
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