For many manufacturers, manual data collection and quality management efforts are entrenched process elements. But digitizing quality data is no longer optional; and in many industries, electronic data is now required for compliance.

Preventing data entry errors with a modern quality management system improves operator efficiency and ensures product quality, without slowing down production.  

Back in the day when attending live, face-to-face conferences was “a thing,” I always looked forward to the breaks when I could join my peers around that long, huge table put out by the hotel offering a variety of Danishes, fruit, and of course, coffee.

Those of us on the march towards Quality 4.0 in our manufacturing companies are grappling with the challenge of producing high quality parts with a minimal investment of time and resources into new inspection methodologies. 

Vision Engineering, a 61 year old British leading designer and manufacturer of high-quality visual measurement and inspection technologies, has attained ISO 17025:2017 accreditation from UKAS and is now a UKAS accredited calibration laboratory No. 7706.

While there are many important quality management principles, this time we will look at continuous improvement. Perhaps the idea most commonly associated with quality, it means never being satisfied with the status quo.

Without a doubt, quality professionals are expected to be well versed in technical skills. Proficiency with the various quality tools and techniques is paramount for the quality professional to lead their organization to performance excellence. In the current environment, that’s just not enough to be truly successful.

On company visits, Carmine Liuzzi says people will occasionally clean off the quality manual before they give it to him.