Have you ever seen a measurement result and immediately thought something was wrong?

«Statistical Process Control – Ensuring Quality and Preventing Deviations» Lean Tech

Have you experienced operators adjusting a machine in despair because the machine produced rejects?

How to achieve the right quality every time? Let's look at an example with boiling eggs,

The best way to find out is to test! You can do that at the Norwegian museum of Science and Technology.

"The devil is in the details"

Improving quality is about understanding and controlling variation.

The purpose of a root cause analysis is to determine the true causes of a problem to implement targeted measures.

As the picture illustrates, a problem (the tree) can have many causes (roots). Over time, the symptoms (leaves of the tree) and the problem (tree) grow larger and become more and more visible.