Regression Control Charts-A Survey

Abstract

Statistical quality control is a method and graphical procedure that plays a vital role in monitoring and controlling the process for the targeted quality. Control charts can be viewed in two different ways: standard Shewhart control charts with their variations, and control charts that are influenced by interrelated independent variables for the process shift. The combination of conventional control charts and regression analysis is called regression control charts. Regression control charts assist in lowering overall process variability, inspection, and rejection costs, also monitoring and projecting performance ranges. This paper considers 43 articles on various regression control charts during 2010-2021 for the survey. The widespread construction of regression control charts in general and the research carried out in the construction of regression control charts in the presence of multicollinearity, in particular, is discussed. The charts are categorized based on linear, non-linear, and generalized regression models. This survey aims to aid researchers in their understanding of various features of regression control charts. This is crucial because numerous researchers approach issues in a variety of ways, making it clear that there are various points of view.