Result structure
2 minute read
Referring to the type data example, the following image shows an exemplary result structure for a K523 work piece.
As shown in the example described, there are two measure cycles.
In the first measure cycle, the measure process HighVoltageTest produced a result with a value beyond the given tolerances and therefore was classified as fail.
Having been repaired, the module was measured again.
In the second measuring cycle, both measuring processes have been carried out with classification pass, so that the overall classification for the second measuring cycle is also pass.
Work piece
Instead of the term work piece, the term device under test (DUT) is often used. This is the physical object on which measurements are taken.
The work piece has the following characteristics:
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A unique ID (e.g. serial number or trace ID)
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An optional production order
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An optional production batch
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One or more measurement cycles
Production order
A production order is an internal order for the production of a defined quantity of work pieces. It can consist of a single or multiple production batches. Production orders and production batches are not directly related to each other.
Production batch
A production batch is a production unit. One or more production lots form a production batch. A production order can contain one or more production batches.
Measure cycle
A measure cycle includes one or more measurement processes. If the work piece is tested several times, there are several measure cycles for this work piece. For each measure cycle, an overall classification is created based on the classifications of the individual measure processes.
Station
Station is the name of the LisRT station on which the work piece is tested.
Measure process
A measure process is a series of measurements with the results of a process from the type data. The overall classification of the measure process takes into account only those attributes of a measure process for which the property evaluation is required is active.
Result
For each attribute in the process, there is a result of the corresponding measurement. The result has a measured value. This can be a number (value) or a character string (text). If the result value is within the attribute limits, see tolerance min and tolerance max, then the classification for the individual result is pass.
UML Diagram
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