As inspection systems capture more visual and dimensional data than ever before, aerospace manufacturers are using artificial intelligence to find variation earlier, connect processes in real time and redefine what it means to manage quality.
Quality engineers on aircraft and defense programs must verify that every part meets design requirements and keep records that can be audited for years.
In manufacturing, quality has always been defined by consistency — the ability to produce every part to the same standard, every single time. Inspection remains essential, but the industry’s focus has shifted. Rather than catching defects after they occur, the goal today is to eliminate variation at the source.
After Greg Weaver got out of the Navy, he started working in mining in northern Nevada. After a few winters, it was time to do something else. “It was like six degrees, and I’d be working outside.” He found a listing in the paper for an aerospace company that did turbine blade repair.
Artemis Vision of Denver, CO, a leader in custom machine vision solutions and track-and-trace systems, announced that John Jennings has joined its Board of Advisors.
This space will focus on topics relevant to systemic improvement, professional development, and strategic leadership—areas where Fellows have accumulated deep experience.
Beginning with this issue, Quality welcomes the launch of the ASQ Fellows Forum—a monthly column written by members of the American Society for Quality’s Fellow community.
The traditional image of a quality department is rapidly becoming a relic of the past. Driven by the relentless march of digital transformation, escalating customer expectations, and a growing emphasis on holistic corporate responsibility, the quality department of the future will undergo a profound metamorphosis.
We’ve witnessed clients take full advantage of this tight integration of Quality Management Systems and other MES functions like order management, track and trace, OEE, and even document controls within the SCADA layer.
Where SPC and heavy business focused analytics tools may be best fit in the enterprise software layer, Quality Management Systems (QMS) now have a lasting home in the MES/SCADA Layer.
Over the past decade, global data-center infrastructure has evolved faster than at any other time in history. AI clusters, cloud computing, and digital services have driven unprecedented increases in power needs and thermal loads.
Palletizing is difficult, dangerous work that sometimes takes workers many feet up into the air to stack products off the production line or service and maintain palletizing equipment.