M
Regarding a device is used to measure AND control a critical characteristic in a process.
Example 1
A heat chamber with a control to select the temperature and a built-in controller to maintain the temperature at the manufacturer's specified tolerance.
The temperature in the chamber is identified as a critical process characteristic on the control plan.
The manufacturer's specified tolerance is much less than the specified process tolerance.
Q1 Is an MSA study required on the temp measuring system of the heat chamber because it's measuring a process characteristic on the control plan?
There must be plenty of situations where purchased equipment includes gages or control devices for key process characteristics.
Q2 Are we expected to do MSA (GR,etc) on these imbedded measuring systems? (Surely not? Right?…)
Example 2
A temperature controller device is added to a heat chamber with only a heating element.
The temperature in the chamber is identified as a critical process characteristic on the control plan.
The manufacturer's specified tolerance for the controller is much less than the specified process tolerance.
Q3 For this one I won't ask IF an MSA study is required, but what kind of statistical evaluation is appropriate?
I present the following considerations and my proposed approach.
For systems used for process control, the key points in MSA (bias, discrimination,repeatability, stability,etc) are all focused on whether the system is suitable for use in controlling the process.
My contention is that for a system which IS a process controller, the key points are:
1.Can it control the process
If the process is in control, then it must be capable of controlling the process which is the intended purpose of the system
2. Is it accurate
When calibrated the individual measurements have a known relationship to a standard therefore the measurements can be relied upon to correctly indicate the process condition
3. Is it stable
If the process stays in control and on target (within limits) then the system must be stable
My proposed MSA approach is to control chart the indicated measurement from the controller showing the process is in control and certify it's calibration.
The rational is that if the process is in control, stable, and on target, then the system must have the necessary statistical properties as detailed in the MSA manual
Q4 Will this approach fly?
Q5 Are there any suggestions other than just treating these as individual measurement systems?
Q6 Should I go back to flipping burgers?
Q7 What does Bobby Knight have to do with this?
I appreciate any feedback.
mikeb
[This message has been edited by mbruner (edited 04 May 2000).]
Example 1
A heat chamber with a control to select the temperature and a built-in controller to maintain the temperature at the manufacturer's specified tolerance.
The temperature in the chamber is identified as a critical process characteristic on the control plan.
The manufacturer's specified tolerance is much less than the specified process tolerance.
Q1 Is an MSA study required on the temp measuring system of the heat chamber because it's measuring a process characteristic on the control plan?
There must be plenty of situations where purchased equipment includes gages or control devices for key process characteristics.
Q2 Are we expected to do MSA (GR,etc) on these imbedded measuring systems? (Surely not? Right?…)
Example 2
A temperature controller device is added to a heat chamber with only a heating element.
The temperature in the chamber is identified as a critical process characteristic on the control plan.
The manufacturer's specified tolerance for the controller is much less than the specified process tolerance.
Q3 For this one I won't ask IF an MSA study is required, but what kind of statistical evaluation is appropriate?
I present the following considerations and my proposed approach.
For systems used for process control, the key points in MSA (bias, discrimination,repeatability, stability,etc) are all focused on whether the system is suitable for use in controlling the process.
My contention is that for a system which IS a process controller, the key points are:
1.Can it control the process
If the process is in control, then it must be capable of controlling the process which is the intended purpose of the system
2. Is it accurate
When calibrated the individual measurements have a known relationship to a standard therefore the measurements can be relied upon to correctly indicate the process condition
3. Is it stable
If the process stays in control and on target (within limits) then the system must be stable
My proposed MSA approach is to control chart the indicated measurement from the controller showing the process is in control and certify it's calibration.
The rational is that if the process is in control, stable, and on target, then the system must have the necessary statistical properties as detailed in the MSA manual
Q4 Will this approach fly?
Q5 Are there any suggestions other than just treating these as individual measurement systems?
Q6 Should I go back to flipping burgers?
Q7 What does Bobby Knight have to do with this?
I appreciate any feedback.
mikeb
[This message has been edited by mbruner (edited 04 May 2000).]