Στατιστικός ελεγχος ποιότητας και πιθανότητα αποδοχής πληθυσμού

Abstract

In recent years, Statistical Quality Control has been integrated into many industries, such as the industrial field and the financial sector, but in particular in most sectors dealing with production such as the production of a product and processes such as the control process. It is a tool that helps identify mistakes in production and manages decision making by analyzing populations and samples to provide graphical depictions and results on when a process is out of control and the reasons that affect it in order to obtain appropriate decisions. This paper aims to present the Statistical Control and link it to the probability of accepting a lot by making the necessary measurements so that the order receiver to be able to decide whether to accept the lot or not. The first chapter analyzes the concept of Statistical Control as well as its evolution over the years and emphasizes some of its properties both theoretically and practically with the usage of diagrams and applications such as warning limits, upper and lower limits, average path coefficient etc. In the second chapter we analyze some useful distributions that help in the analysis and selection of a lot of products such as Regular distribution, Binomial distribution, Hypergeometric distribution and Poisson distribution. Finally, by using Microsoft Excel provides us with important examples and diagrams to help us understand the concept of lot acceptance.