Software

RSS

When it comes to medical and pharmaceutical manufacturing, errors can be dangerous.

As expressed in the blog 3 Functional Ways Risk is Critical to Quality Management by LNS Research, an organization’s approach to enterprise quality management should never remain stagnant. 

The American Society for Quality (ASQ), along with many other organizations, define statistical process control (SPC) as the use of statistical techniques to control a process or production method.

Before we can talk about reverse engineering as an application, it is important to understand how and why it has emerged as a critical metrology tool for manufacturers, and how it fits in the rapidly evolving digital workflow. Just a few years ago, the term ‘reverse engineering’ was associated more with industrial espionage, stealing designs, or product features from competitors. What has changed? 

An SPC (Statistical Process Control) Software customer recently inquired if I could discern any issues in a process, as their customer had identified problems with three recent shipments. They provided data for the customer’s current year shipments for a variety of KPI (key process indicators) in an Excel file. 

Naturally, much of understanding anything—and where it might be going—is understanding how it began. 

There have been two sea changes since the widespread introduction of QMS solutions in manufacturing environment—and a third change is on its way.