After the Quality Technician has performed a measurement and recorded the inspection result, the characteristic must be valuated as either accepted or rejected. Depending on your business requirements, SAP S/4HANA offers different valuation methods.
Play the video to learn when to use manual characteristic valuation or valuation by characteristic attribute codes.
The following image shows additional valuation modes that are available in the system:

The valuation method Mean value within tolerance range can be used for quantitative characteristics. Here, the system calculates the mean value of single results (→ characteristic with single result recording) or the mean value entered by the Quality Technician (→ characteristic with summarized recording) and compares the mean value to the tolerance values the Quality Planner entered in the characteristic. If the mean value is between the lower and upper limit, the characteristic is accepted; otherwise, it's rejected.
Caution
When using this valuation method, the system really only takes the mean value into account. Assume that you've defined a characteristic Length with a lower limit of 0.9 m and an upper limit of 1.1 m. The Quality Technician measures two samples. The length is 0.5 m and 1.5 m respectively. Since the average value is 1.0 m, the system accepts the characteristic although the two individual samples are clearly out of tolerance.
If you don't want this behavior, use the next valuation method instead.
During an Attributive inspection, the valuation for the inspection characteristic occurs based on the number of nonconforming units or number of defects corresponding to an n-c or n-c-d sampling plan. n is the number of items to be inspected. c is the acceptance number that defines the highest number of nonconforming units or defects that still permits the acceptance of the characteristic. d is the rejection number that defines the lowest number of nonconforming units or defects that leads to the rejection of the characteristic. Usually, d = c + 1.
Note
What is the difference between the number of defects and the number of nonconforming units?
To illustrate this, let's consider the example of checking light bulbs for scratches. If we define a light bulb with at least one scratch as defective, then we would count the number of nonconforming units. This means we would count the total number of light bulbs that have scratches, regardless of whether they have one scratch or multiple scratches.
On the other hand, if we are interested in evaluating the characteristic based on the total amount of scratches, we would count the number of defects. For example, if one light bulb has three individual scratches while two other light bulbs do not have any scratches, we would count the total number of scratches, which in this case would be three.
In the example, the Quality Technician measures 125 units. If they find three defects or defective units, the system accepts the characteristic. Otherwise, it rejects the characteristic.
If the characteristic requires single result recording, the system automatically counts the number of defects or defective units. When performing summarized recording, the Quality Technician must enter that number in the respective field.
When using SPC Valuation, you valuate inspection characteristics based on action limits for a control chart. The system compares, for example, the measured value with the action limits of a control chart. If the characteristic value lies outside, the system valuates the characteristic as rejected.
Note
What is a control chart? A control chart is a graphical tool used by quality technicians to control, analyze, and document the processes involved in production and other quality-relevant areas. Control charts are primarily used in inspections during production to monitor and manage controlled production processes. A process is controlled or under statistical control if the observed process parameters only vary randomly from sample to sample. If a measured value lies outside the action limits of a control chart, it deviates more than the process-inherent random variation from sample to sample. Therefore, the sample might be defective so that the system rejects the characteristic.
For more information on control charts, have a look into the Application Documentation.
Technically, the Quality Planner defines the valuation mode in the sampling procedure which they assign to a characteristic. As a prerequisite, the Application Consultant must have defined a list of valuation modes in customizing (IMG: Quality Management → Basic Data → Sampling, SPC → Define Valuation → Define Valuation Mode).
Note
The technical implementation of the valuation is implemented in the system as function modules. The Application Consultant assigns the function module to a valuation rule. Then, they assign the valuation rule to the valuation mode. The latter is then used by the Quality Planner when they define the sampling procedure.
Although this approach might seem complicated, it offers the potential that customers can define their own valuation logic if the SAP standard is not sufficient. For more information, review the documentation of the IMG node mentioned above.