The inspection order pass rate serves as an indicator of the overall outcome of the given inspection order. It is calculated as:
<inspection order pass rate [%]> = <number of tests that produced a Passed result in the inspection order> * 100 / <number of all tests performed in the inspection order>
Two examples
Consider the following two test scenarios that may help in clarifying concept. Results that were out of the acceptable range are highlighted in red. In order to keep the columns as narrow as possible, measurement units are not shown.
Test name | Approval target | Sample1 | Sample2 | Sample3 | Sample4 | Sample pass rate | Test result |
Measure weight | 60% | 50 | 60 | 50 | 80 | 75% | Passed |
Measure length | 60% | 200 | 150 | 210 | 160 | 50% | Failed |
Visual inspection | 60% | OK | OK | OK | BAD | 75% | Passed |
Measure density | 60% | 15 | 12 | 16 | 15 | 75% | Passed |
In the case above, the inspection order failed because one of the tests - the length measurement - did not meet the approval target of 60%. With its result of 50%, it failed. Thus 3 tests passed of a total of 4, yielding an inspection order pass rate of 3/4 or 75%.
In the case below, the inspection order passed because – as the length measurement of Sample4 resulted in 200 rather than the 160 above – the length measurement test (with its 75%) surpassed the 60% approval target. With all 4 tests passed, the inspection order pass rate is 4/4 or 100%.
Test name | Approval target | Sample1 | Sample2 | Sample3 | Sample4 | Sample pass rate | Test result |
Measure weight | 60% | 50 | 60 | 50 | 80 | 75% | Passed |
Measure length | 60% | 200 | 150 | 210 | 200 | 75% | Passed |
Visual inspection | 60% | OK | OK | OK | BAD | 75% | Passed |
Measure density | 60% | 15 | 12 | 16 | 15 | 75% | Passed |
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