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Hi people,
I am doing a six sigma project and needed some help on the following problem.
There is an operation that can go wrong due to three reasons A, B and C.
The outcome of operation is binary, and whether the result is pass/fail is decided by visual inspection. What has contributed to the operation failure can also be known (A/B/C ?).
There are 4 machines which carry out this operation. I need to find out if there is/are machine(s) more/less efficient that the others, and if that is the case, which of A/B/C should i focus upon.
How can i decide the sample size for attribute DOE? And how do i f
I am doing a six sigma project and needed some help on the following problem.
There is an operation that can go wrong due to three reasons A, B and C.
The outcome of operation is binary, and whether the result is pass/fail is decided by visual inspection. What has contributed to the operation failure can also be known (A/B/C ?).
There are 4 machines which carry out this operation. I need to find out if there is/are machine(s) more/less efficient that the others, and if that is the case, which of A/B/C should i focus upon.
How can i decide the sample size for attribute DOE? And how do i f