I am attempting to determine a historical rate of failure, or some kind of metric that I can use to measure a certain failure rate.
We have a database of returns to customer service and reasons. We have production database for any given time.
The arguement is that the returns last year does not directly relate to the production last year, because it would have been items that were produced years before that were returned.
Some mentioned the amount of failures over 1 year by how many are in the field. I don't like the way that takes only a part of failure over the total produced.
Some mentioned the number of returns that had this particular failure. I don't like that number because it doesn't take into account how many produced.
Being that we produce approx 5k a year, and the returns for the particular failure were approx 150 last year, even considering advanced age and customer damage, I can show some reliability. Do you agree with this, and how can I convice others?
We have a database of returns to customer service and reasons. We have production database for any given time.
The arguement is that the returns last year does not directly relate to the production last year, because it would have been items that were produced years before that were returned.
Some mentioned the amount of failures over 1 year by how many are in the field. I don't like the way that takes only a part of failure over the total produced.
Some mentioned the number of returns that had this particular failure. I don't like that number because it doesn't take into account how many produced.
Being that we produce approx 5k a year, and the returns for the particular failure were approx 150 last year, even considering advanced age and customer damage, I can show some reliability. Do you agree with this, and how can I convice others?
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