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Considered by many to be the “Father of Quality Management,” Dr. Joseph M. Juran is recognized as the man who added a human dimension to quality, expanding it from its statistical origins to a broader management science.

With the number of offline and in-process toolsetting options on the rise, developing a way to efficiently utilize this technology can be confusing. Which presetter should we buy? What about the software that’s so often part of these systems—do we really need it?

When I graduated with an engineering degree some decades ago, I learned that the organizations I was going to work for had internal communication problems. This was especially true for those that designed and manufactured complex machinery such as engines, aircraft, or automobiles.

For CMMs, the good times continue to roll. “One of the surprising things that has happened in just the last three to four years is the sheer volume of CMMs that we are shipping,” said Angus Taylor, president of Hexagon Manufacturing Intelligence, North America (North Kingstown, RI). “The market seems to be really exploding.”

Consolidation along the Digital Thread seems to be all the rage among companies today, including Hexagon Manufacturing Intelligence. While acquiring technologies outside its core metrology might make sense as a business, is there advantage technically in adding CAE and CAD/CAM?

Automotive supplier Faurecia (Nanterre, France) decided it needed to get serious about Industry 4.0 fast.

When a manufacturer has excess inventory not adding value to the process, the inventory is hurting the company’s balance sheet, and is by definition wasteful.

While high-end metrology devices like advanced laser scanners or precision CMMs garner a lot of attention, it is hard to imagine any industrial setting without the presence of work-a-day hand-held, contact metrology tools such as calipers or micrometers. That is what Justin Frazzini, quality manager for A.A. Jansson (Waterford, MI), retailer and calibration and repair service provider, observes in his practice.

As machine vision technologies improve, providing more data more frequently, new uses for inspection during the manufacturing process are emerging. The automotive industry might represent the ultimate challenge to providers of machine vision equipment used in robotic guidance and material inspection.

The industrial world is continuing its adoption of Geometric Dimensioning and Tolerancing (GD&T), the advanced tolerancing methodology. The symbolic language is intended to be both more precise while providing more latitude in allowable variations, replacing the simpler method of adding tolerances to each dimension.