First, I am sorry if this comes across as confused - I am trying to figure this out.
We have an automatic measurement assembled machine, in which a robot arm moves an item along a series of steps. After turning, the item is moved to a steam cleaner, then it goes to one measuring device, then another measuring device. Then the computer decides if everything is okay: accept or discard.
So, this production of an item has 100 % measurement, with no sampling needed. My question is: what happens if any measurements is lost due to some incident. Let's say, as an example, that there is only data present to support that 90 % of the items has been measured and accepted. Is there any way to infer that the rest of the items are accepted?
The obvious option is to measure the whole lot again - but is there an alternative? I guess I can choose to do sampling, but then it would not be 100 % verification any more. But it would be a large sample, and it would demand that the measurement loss was not in a large chunk during the production cycle.
I hope I have been able to make myself understandable.
Thanks for reading!
Nicholas
We have an automatic measurement assembled machine, in which a robot arm moves an item along a series of steps. After turning, the item is moved to a steam cleaner, then it goes to one measuring device, then another measuring device. Then the computer decides if everything is okay: accept or discard.
So, this production of an item has 100 % measurement, with no sampling needed. My question is: what happens if any measurements is lost due to some incident. Let's say, as an example, that there is only data present to support that 90 % of the items has been measured and accepted. Is there any way to infer that the rest of the items are accepted?
The obvious option is to measure the whole lot again - but is there an alternative? I guess I can choose to do sampling, but then it would not be 100 % verification any more. But it would be a large sample, and it would demand that the measurement loss was not in a large chunk during the production cycle.
I hope I have been able to make myself understandable.
Thanks for reading!
Nicholas