Hi guys, sorry, I posted the link on the previous message to show that Kolmogoroff existed, not to demonstrate any solution to my repeatability problems.

I now have a very basic understanding of this approach;

The theory is called the Kolmogoroff-Smirnoff (sounds like a drink, I know) theory.

Basically it involves applying a formula (which at this stage I am still trying to work out - ****ed SPC software package!) to a series of data collected by the measurement system.

The ouptput of this formula is a coefficient, Cgk.

The logic goes as follows;

If Cgk > 0.15 then you have a normal (Gaussean) distribution, and therefore your measurement system is behaving as it should.

However, if Cgk < 0.15 then you have an abnormal (non-Gaussean) distribution and your measurement system is behaving erratically.

This is my (very limited) understanding of the Kolmogoroff theory.

The more I know, the more I'll tell.

Cheers,