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Case Studies: Reducing RFID Label Design Time

Kamen, Germany-based Sentronik GmbH has reduced the time required to develop radio frequency identification (RFID) labels from 7 to 10 days to 2 to 3 days by simulating the labels with Flomerics’ MicroStripes electromagnetic simulation software.
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Off Topic: The Test of Time

It is rare today to find a product that can truly withstand the test of time. Yet in one Florida testing lab, Tinius Olsen has been a constant presence for nearly 54 years.
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Monitoring Temperature and Humidity

Monitoring temperature and/or humidity conditions is an essential ingredient of a wide range of quality assurance applications. There are many common methodological errors, however, in ways that this task is approached that either compromise quality standards or add unnecessary time and expense to the monitoring task.
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Six Sigma for Leaders

It’s been more than 10 years since GE’s aggressive adoption of Six Sigma launched a renaissance of quality methods, and some 20 years since Motorola first began minting Black Belts and concentrating on defects. And yet, despite hundreds of documented successes and thousands of committed Six Sigma practitioners, criticism of and skepticism about Six Sigma remains as strong, and probably stronger, than ever.
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Off Topic: Scoping a Civil War Artifact

When Jay and Carol Jones of Granville, MA-based Noble & Cooley Drum Co. learned that one of the firm’s Civil War-era military drums had surfaced, they wanted a closer look. So they called Instrument Technology Inc. (ITI) of Westfield, MA.
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Case Studies: CMMs Mow Down Quality Bottleneck

Richardson Manufacturing (Springfield, IL) is in the heart of earth-moving country, and their primary customers are the makers of enormous machines that push, haul and scrape dirt. During their 50-year history, Richardson has become a fully integrated engineering and production metalworking company. They accept CAD drawings from customers, then manage the parts from prototyping through production, and along the way make whatever fixtures are required to build them.
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The Factory Diagnosis Diagram

As a rule, counting, measurement and experimental data of various origins are initially protocolled or stored in the order of their occurrence. For descriptive and/or analytical processing of such data, it is often advantageous, at times even mandatory, to sort the data in ascending or descending order according to their size, i.e., to bring them into a so-called rank order.


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Charles J. Hellier has been active in the technology of nondestructive testing and related quality and inspection fields since 1957. Here he talks with Quality's managing editor, Michelle Bangert, about the importance of training.
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2015 March

The March 2015 edition of Quality Magazine includes this years Quality's 2015 Plant of the Year.

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The Skills Gap

What is the key to solving the so-called skills gap in the quality industry?
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