Article ID: | iaor20163989 |
Volume: | 32 |
Issue: | 7 |
Start Page Number: | 2171 |
End Page Number: | 2189 |
Publication Date: | Nov 2016 |
Journal: | Quality and Reliability Engineering International |
Authors: | Pievatolo Antonio, Gb Rainer, Ali Sajid |
Keywords: | statistics: empirical |
Major difficulties in the study of high‐quality processes with traditional process monitoring techniques are a high false alarm rate and a negative lower control limit. The purpose of time‐between‐events control charts is to overcome existing problems in the high‐quality process monitoring setup. Time‐between‐events charts detect an out‐of‐control situation without great loss of sensitivity as compared with existing charts. High‐quality control charts gained much attention over the last decade because of the technological revolution. This article is dedicated to providing an overview of recent research and presenting it in a unifying framework. To summarize results and draw a precise conclusion from the statistical point of view, cross‐tabulations are also given in this article.