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The basis for the functioning of a modern manufacturing enterprise is the use of statistical process control systems (SPC). They ensure continuous supervision over the production process and enable quick response to irregularities. The supervisory system allows for gathering information and analyzing the course of the process, and thus preventing the occurrence of non-conformities (such as producing a product not compliant with the specification) and avoiding related losses. The main tasks of the SPC are: identifying the signal indicating the process disregulation, detecting the causes of the observed deregulation and using the obtained information to improve the process. The quality control of products and production processes is carried out on the basis of measurement data collected during the manufacture or collection of finished products. Analysis of MSA (measurement systems analysis) enables practical determination of numerical values of the measurement system parameters that determine the reliability of the data collected using it. Measurement data are obtained using instruments or measuring systems that, like other man-made products, are not perfect. In fact, each Xpi measurement result obtained by means of a measuring instrument reproduces in a more or less precise way the true value Xo of the measured quantity

Application of MSA analysis for the evaluation of instruments for measuring the surface texture