KSC Workshop – Measuring Techniques

Measuring proto-parts (prototypes) and serial parts in production processes have some important differences.


Proto-parts are typically created in the early stages of product development to evaluate functionality, fit, and other design aspects. Measuring proto parts often focuses on assessing overall quality and comparing actual dimensions to design specifications to verify that the prototype meets requirements.

Serial parts

Serial parts, on the other hand, are produced in larger numbers as part of a production process. Measuring serial parts usually aims to control quality and detect any variability in the production process. In this case, measurement is often linked to statistical process control (SPC) to monitor process performance and intervene to correct deviations before defective parts are produced.


SPC is a powerful tool in serial production because it uses statistical techniques to collect and analyze relevant data, such as the variability of multiple measurements of produced parts. Using SPC, control charts can be created to identify trends, deviations or out-of-control situations so that process engineers can take timely corrective action.



As for the collaboration that can positively influence this process, it is necessary to have good communication and collaboration between those responsible for measuring and the operators responsible for the production process. Close collaboration ensures that measurements are carried out correctly, that the required data is recorded correctly and that information about process variations is shared quickly.


Furthermore, collaboration between those responsible for SPC and the operators can focus on jointly understanding and interpreting the data. For example, by having regular meetings to discuss trends and patterns in the process data, potential improvements in the production process can be identified and implemented.


Collaboration is therefore fundamental to use measurement and process data effectively and to address any problems in the production process to improve overall quality and efficiency.