The topic of quality assurance runs through the entire development process of planning, implementation and operation of production and assembly systems. Even when designing the products, subsequent production can and should be geared towards high and consistently stable product quality. Examples of this are the design of components and groups for production, but also for assembly and testing.
Even if the main responsibility for quality assurance lies in the planning of the system technology (see also FMEA ), high and consistently stable product quality can only be achieved through regular checks of the system technology.
Quality assurance measures are differentiated according to measures to prevent errors and measures to detect errors. To avoid errors, electronic queries are often used to detect the correct position of components or to align these components using NC-controlled actuators. Sealants can be applied with electronically monitored dosing using computer-controlled axes. Components that hardly differ visually in their variants are scanned using electronically readable identifications to prevent confusion.
Fault detection generally includes inspection and test operations. Quality planning provides for inspection procedures not only to thoroughly test the finished product at the end of production, but also to immediately remove faulty components during ongoing production. Many processes are inspected immediately after they have been carried out. These include, for example, the camera-based optical inspection of computer-controlled sealants or the reading of identification features using a scan or camera.
For quality planning, checking the inspection procedures is also an essential part of the quality assurance measures. The method for testing the test systems is often the use of master parts that were already used to set up the test systems. The correct measurement functions are ensured by means of components measured in the measuring laboratory. In order to ensure the correct function of the test systems over the entire permitted tolerance range of characteristics, different master parts can be produced. This makes it easy to map both the nominal dimension and characteristics outside the permitted tolerance range, which are then correctly identified by the test system as rejects.
Another and very important quality assurance measure is the recording, evaluation and storage of production data. The advantages are the completeness of the production data for a product and the statistical evaluability and traceability of the data for batch allocation, for example for warranty cases and supplier allocations.
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