Control Charts for Statistical Process Control - a Literature Overview

Control charts are a widely used tool for statistical process control and have been continuously researched and applied for several decades. If the underlying assumptions are guaranteed, traditional charts such as the Shewhart, EWMA or CUSUM chart are a reasonable choice for monitoring production or service processes. However, with the increasing availability of data and the need for more complex monitoring processes, these charts have evolved, resulting in a broad and diverse field of research. This literature overview aims to categorize the different characteristics of control charts, including general and specific types of control charts, different types of data, multivariate and distribution-free charts, computation methods, and the economic approach to designing a control chart. In particular, a categorization scheme for different performance metrics is provided, which is the first of its kind. This overview offers a brief summary of all categories, outlines representative and high-quality articles, introduces the most influential authors in the field, and suggests several areas for future research. Unlike recent literature reviews, we do not focus on a specific property of control charts, but rather provide a comprehensive overview. Research on this topic has not ceased at all, in fact it has increased in the past two years, emphasizing the continued importance of control charts