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Home » Events » Webinar

Webinar

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Webinar

10/14/21 to 10/14/22
Contact: Meg M.

Making Sure Your Measurement System is Trustworthy

On Demand As part of their product quality planning cycle, companies collect dimensional measurement data for manufactured parts to better understand their production process and to perform continuous improvements. But how can this data be trusted to determine the stability and capability of a manufacturing process, as well as its ability to meet dimensional requirements?

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Webinar

10/13/21 to 10/13/22
Contact: Meg M.

Unravelling the Mystery of Surface Finish Measurement in Manufacturing

On Demand Surface finish measurement can be a confusing and often misunderstood part of metrology.  Devices to measure surface finish can be simple hand held units for use on the shop floor or massive granite based systems located in the quality lab.

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Webinar

9/29/21 to 9/29/22
Contact: Lauren

5 Tips for Simplifying Your APQP & PPAP Processes

On Demand As a manufacturer, every customer you work with demands unique quality submission requirements and report formats. Managing these quality projects requires massive spreadsheets with multiple tabs – each filled with data that must be manually typed across different reports.

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Webinar

9/21/21 to 9/21/22
Contact: Lauren

Simplifying Cobot Setup and Deployment for Quality Applications

On Demand Collaborative robots are known for being easy to program and deploy. But did you know there are certain “tricks of the trade” to help you get up and running even faster, in many cases as little as 2 days? This webinar will convey basic information about collaborative robots and what makes them inherently safe and easy to use; will discuss the concept of “incremental automation” to help get you started; and most importantly, will discuss the deployment time-saving nature of “plug and play” peripherals. 

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Webinar

8/31/21 to 8/31/22
Contact: Kelly

Data Centric AI Overcomes Manufacturing Fears of Deep Learning Technology

On Demand A recent survey of quality professionals revealed that nearly half would rather see their competitors adopt deep learning technology rather than take the risk of adopting new tech themselves. At the same time, AI is expected to generate more than $13 trillion in global GDP growth by 2030. So, is it smart to wait?
 

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