D
DJN
need to conduct an attribute R & & study, but I am unsure if I have the requirements correct. We have an automatic machine that tests for a particular feature. The only operator intervention is to place the assembled component on the test rig. The test rig has been foolproofed so that the operator cannot place the assembly incorrectly on the jig, so I guess no reproducibility(AV) issues. I have suggested that an attribute study is appropriate, as we do not need to know the actual dimension, only whether it has passed or failed the test. My thinking is to have 50 assemblies, with 20 good, 20 bad and 10 borderline. I would then conduct 4 trials per assembly to simulate two operators and two trials. Having said that, as the machine produces continuous data, would it be better to run a normal R & R, taking 10 parts and running 4 trials. The only problem I see is that I would have no different operators as the machine is effectively the only operator? Is my thinking sound in these circumstances? Any guidance appreciated.