According to Shigeo Shingo, a subtle but important distinction exists between problem-solving and continuous improvement.

Difficult decisions don’t end once you’ve made them. The biggest challenges come with execution risk. Does your decision get carried out the way you wanted it to? The key to successful execution is good change management.

Metrology, the scientific study of measurement, has never been faster or more precise. Yet many quality problems that land on a CMM table were decided weeks earlier, when someone measured against a drawing that was no longer the approved one.

Contact surface-finish measurement and confocal optical surface-finish measurement are two different methods of measuring the roughness or irregularity of a surface.

When we hear that the metric system is based on seven base units, or seven fundamental constants, it gives the impression that there’s something obviously unique and special that sets these seven quantities apart.

Who makes the better call: a manager with a wide-ranging career or a narrow one; a doctor who trusts their instincts, or one who sticks to clinical guidelines; a human recruiter, or an algorithm that assesses job candidates?

Consider a hypothetical turned shaft with a diameter specified as 20.000 mm ± 0.010 mm. The supplier reports 20.009 mm, just inside the upper limit of 20.010 mm, with an expanded measurement uncertainty of 0.003 mm.

Most discussions about generative AI in life sciences start with the technology. Quality professionals should start somewhere else—with the record.

If you’re familiar with the maker community, you may already have encountered WhippetInTech, from a design engineer who documents his builds on YouTube.

When hospitals treat device downtime as isolated, one-off incidents, they miss a critical opportunity to improve system reliability, manage long-term costs, and safeguard patient care.