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.
Concerned about its own facility’s excessive energy usage, a New York-based metal products manufacturer paired up with Power Concepts LLC, a Manhattan-based consulting engineering firm, to conduct an energy feasibility study at the company’s production facility.
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.
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.
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.
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.
The task of inspecting how automotive parts fit together has also gotten increasingly more complex. The Body-In-White (BIW) Rollout and Process Optimization Department is entrusted with the job of verifying how well the various body parts fit to one another.
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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