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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.

PLM strategies move manufacturers ahead with improved simulations in the Digital Thread and the latest Industrial Internet of Things (IIoT) applications

Siemens is working to fulfill the Industry 4.0 vision with the digital twin, speakers from the software firm told people attending its namesake product lifecycle management (PLM) software conference this week in Orlando, FL.

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.

“Five years ago, our fit and finish was below average,” said Dr. Raj Kawlra, director of dimensional strategy and management of Chrysler Group (Auburn Hills, MI). “To be the future world-leaders, we knew that we had to focus on all aspects of quality … vehicles that look good, feel good, sound good, and are reliable.”

Off-line programming software tools for CMMs allow manufacturers to increase measurement capacity and throughput by programming CMMs, probes, and fixtures before parts are made.

The Fourth Industrial Revolution has begun, and there is wide agreement this revolution will involve cyber-physical systems with human-machine interaction and lots of data. But many still wonder what the revolution is about and what to expect as consumers and manufacturers.

The simple proposition that no two automation solutions using robotics are alike because no two manufacturing processes are identical presented a major challenge to Daniel Drennen of Deshazo LLC (Alabaster, AL).