Využití neparametrických metod ve statistické regulaci procesů

Abstract

The word „quality“ can be met everywhere. According to a dictionary of foreign words, quality is a relationship between the expected / required utility property or service and the real property used. Quality plays an important role in customer´s deciding whether he or she is satisfied with the product or not. The introduction of a quality management system will ensure the maximum customer satisfaction to the company. Within this system there are various processes of quality management that have the task of covering the whole life cycle of the product. From identifying customer and other stakeholder involved, through design, development and production of product, until its disposal. The introduction of such system should lead to continuous improvement of companies. One of the tools of quality management is statistical process control. The main tool for statistical process control are control charts. This dissertation is focused on the problems of nonparametric methods in the field of statistical process control and possibilities of their wider use in practice. The thesis aims to confirm the following hypotheses. Firstly, non-parametric methods are not very used in practice, mainly due to insufficient SW support and insufficient attention to these methods in professional publications and courses or training courses. Secondly, different non-parametric control charts have different performance for different deviations from data assumptions.