The Internet of Things (IoT) and, in a broader sense, the Fourth Industrial Revolution (Industry 4.0) is the omnipresent new paradigm in manufacturing today, profoundly affecting the way manufacturers are operating or are planning to operate.

Implementing quality management software feels like a pass/fail test. You either get value from it—or you don’t, and you’re back to square one. Use these best practices for a successful launch of your quality management efforts—and for continuous value.

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.

Manufacturers can unearth valuable insights from test data from various sources by employing statistical algorithms and machine learning to establish patterns and predict future outcomes and trends.

What’s the best way to see the value of quality software? Use it. Today’s SaaS solutions let you see the impact a modern quality solution can have on your organization—for yourself.

When Donald Engineering sales manager Jim Kortman describes his aluminum extruder client of 28 years, he reaches for a deceptively simple analogy: the Play-Doh Fun Factory. 

Is fully automated data collection missing from your plant floor? Learn how this powerful form of data collection can support operators and improve their efficiency.

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