Content By Quality Digest

Quality Digest Live -- July 19, 2019

QDL for July 19, 2019

This week on QDL we explore cobots, robots that work alongside or with humans. Buckley Brinkman, Executive Director and CEO of the Wisconsin Center for Manufacturing & Productivity will tell us what they are and how they are being used.

 

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How To: Deal With Poor Gage R&R Results

Discussion of common concerns after a Gage R&R has been completed and the results are found to be less than desirable. How to properly investigate and make improvements for the next time.

How To: Develop a Trustworthy Data Collection Method

Gages are found throughout manufacturing facilities. We discuss key identifiers that should be present on effective gage labels and stickers.

How To: Develop a Trustworthy Data Collection Method
 

Q-Mark 7-12-19 QDL Banner

Rohit Mathur’s picture

By: Rohit Mathur

Whatever the process or type of data collected, all data display variation. This is also true in software development. Any measure or parameter of interest to our business will vary from time period to time period, e.g., number of incidents per week or month, time taken in resolving incidents, number of tickets encountered in a production support environment per month, and defect density in code.

Understanding variation is about being able to describe the behavior of processes or systems over time. This variation can be stable, predictable, and routine, or unstable, unpredictable, and exceptional. Being able to distinguish between stable or common-cause variation, and unstable or special-cause variation, helps us to decide the type of action needed to improve the process. The control chart, developed by Walter Shewhart, is the tool that enables us to do so.

Quality Digest Live -- July 12, 2019

QDL for July 12, 2019

This week we talk with Tom Taormina, author of It Was Rocket Science, about what it really takes to deliver quality products and service. Hint: It's not about using the right quality tools.

Also, we'll look at Q-Mark's interactive CMM-probe design tool.
Be sure to subscribe to Q-Mark's YouTube channel

 

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ZEISS technologies help iMark ensure trusted molding processes

iMARK Molding, in Woodville, Wisconsin, inspects their injection molded parts with several ZEISS systems including the multisensor O-INSPECT 322, the CONTURA CMM and the METROTOM 800 with X-ray technology. See how iMARK uses CALYPSO software for several ZEISS technologies.

ZEISS technologies help iMark ensure trusted molding processes

iMARK Molding, in Woodville, Wisconsin, inspects their injection molded parts with several ZEISS systems including the multisensor O-INSPECT 322, the CONTURA CMM and the METROTOM 800 with X-ray technology. See how iMARK uses CALYPSO software for several ZEISS technologies.

ZEISS technologies help iMark ensure trusted molding processes
 

Zeiss 07-15-19 F Video Banner

NIST’s picture

By: NIST

Ordinarily, you won’t encounter a radiation thermometer until somebody puts one in your ear at the doctor’s office, or you point one at your forehead when you’re feeling feverish. But more sophisticated and highly calibrated, research-grade “noncontact” thermometers—which measure the infrared (heat) radiation given off by objects without touching them—are critically important to many endeavors besides healthcare.

However, even high-end conventional radiation thermometers have produced readings with worryingly large uncertainties. But now researchers at the National Institute of Standards and Technology (NIST) have invented a portable, remarkably stable, standards-quality radiation thermometer about 60 cm (24 in.) long that is capable of measuring temperatures to a precision of within a few thousandths of a degree Celsius.