There are only two "critical success factors." They're part of what Deming referred to as "profound knowledge." You need an overall awareness of the power of statistical analysis from the top down, and you need to have people with sufficient training to be able to establish and maintain the program. If you have both of those, everything else (software, etc.) will follow. If you have people who are trained but top management is only vaguely aware of it and what they want to do, there can be a modest level of success, but nothing more than that--the results will never be "profound."
what i'm trying to find here are what are the 'hard' and 'soft' issues that need to be addressed or just even understood in terms of ensuring the successful use of statistical techniques.
Jim, I agree with you that top mgt need to really believe in the value of statistical analysis and that users need to be able to use the tools.
What I'm looking for is taking those factors and going further. e.g. writing requirements for use of tools into protocols, creating a think statistics culture
What I'm trying to find here are what are the 'hard' and 'soft' issues that need to be addressed or just even understood in terms of ensuring the successful use of statistical techniques.
that is an excellent description for it, what we are trying to do is exactly that, identify the considerations that give this initiative the best chance of success
I would like to also suggest a strict ownership on the processes you control with SPC.
You can avoid drift in process if you react on time and with right procedures and reaction mechanisms.
So you can demostrate good capability of the process assuring Cp,Cpk major than 1.67.
I work in a small medical device company and have been asked to give a presentation on how statistical techniques can be best used by the company.
I’m going to approach it in terms of what are the critical success factors for successful use.
So far I have the following:
Competence of staff Correct choice of technique for each application Good culture of statistical thinking Management seeing strategic value of stats tools Documented procedures to aid in use of tools Software Availability of data Analysis of distribution of data, and after reliability of results (OC curve etc)
Am I thinking along the right lines or missing loads.
This site uses cookies to help personalise content, tailor your experience and to keep you logged in if you register.
By continuing to use this site, you are consenting to the use of cookies.