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![]() Statistical Techniques and 6 Sigma
![]() Statistical Process Control
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| Author | Topic: Statistical Process Control |
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Sankaran Mahadevan Lurker (<10 Posts) Posts: 4 |
Hi guys, The variation in any Statistical Process Control includes also the measuring equipment variation. If the Process is in Statistical Control and Process Capability index is fairly high say at 2, then is it necessary to do Measurement System Analysis (Gage R &R study). The Control Chart is maintained for all the three shifts and three operators are using the same chart. So in this case I think that Appraiser variation is also taken into account. Kindly comment on this point. IP: Logged |
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KenK Forum Contributor Posts: 16 |
Given your scenario, I would venture the following statements: 1. If the observed process variation is considered sufficient, then there probably is not necessarily a real need to know the contribution of the measurement system to that variation. Certainly it is not bad enough to make the process variation appear unacceptable. 2. Regardless, you will still need to run studies investigating bias, linearity, and stability, since those are location inaccuracies rather than variation issues. You could think you're OK when you're really not. IP: Logged |
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Al Dyer Forum Wizard Posts: 814 |
I guess my only comment would be he following: 1- Was a gage R&R done prior to production with three different operaters. 2- Gage R&R is based on using 3 random people to measure the effectiveness of the gage. 3- Gage stability and linearity are based on the gage, not the person using the gage. 4- Always consider the use of the gage. Are gage blocks used as a gage or are calipers verified by a calibrated gage blocks. Just a personal view and I have been wrong in the past ASD... IP: Logged |
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AJLenarz Forum Contributor Posts: 42 |
Sankaran – The real question here is…. what are you obligated to? I can’t speak on behalf of the TS world, but if you operate in the QS realm, you must perform “appropriate statistical studies… to analyze the variation present in the results of each type of measuring and test equipment system.” These studies may consist of bias, linearity, stability, repeatability and reproducibility studies. The key word here is “appropriate”. Choose the appropriate statistical studies relevant to your measuring system and process and be prepared to explain your choice. I would tend to concur. With a Cpk of 2, I would question the necessity of a GR&R. The exception might be in a situation with high Cpk requirements. But i'm just a pup in the world of quality. IP: Logged |
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