A Comparison of Shewhart Individuals Control Charts Based on Normal , Non - parametric , and Extreme - value Theory ‡
نویسندگان
چکیده
Special Issue A Comparison of Shewhart Individuals Control Charts Based on Normal, Non-parametric, and Extreme-value Theory‡ M. B. (Thijs) Vermaat1, Roxana A. Ion2, Ronald J. M. M. Does1,3,∗,† and Chris A. J. Klaassen1,3 1Institute for Business and Industrial Statistics of the University of Amsterdam, IBIS UvA BV, Plantage Muidergracht 24, 1018 TV Amsterdam, The Netherlands 2Eurandom, PO Box 513, 5600 MB Eindhoven, The Netherlands 3Korteweg-de Vries Institute for Mathematics of the University of Amsterdam, Plantage Muidergracht 24, 1018 TV Amsterdam, The Netherlands
منابع مشابه
A Non-parametric Control Chart for Controlling Variability Based on Squared Rank Test
Control charts are used to identify the presence of assignable cause of variation in the process. Non-parametric control chart is an emerging area of recent development in the theory of SPC. Its main advantage is that it does not require any knowledge about the underlying distribution of the variable. In this paper a non-parametric control chart for controlling variability has been developed. I...
متن کاملOn the non-parametric multivariate control charts in fuzzy environment
Multivariate control chats are generally used in situations where the simultaneous monitoring or control of two or more related quality characteristics is necessary. In most processes in the real world, distribution of the process characteristics are unknown or at least non-normal, so the non-parametric or distribution-free charts are desirable. Most non-parametric statistical process-control t...
متن کاملMonitoring and Diagnosing Multistage Processes: A Review of Cause Selecting Control Charts
A review of the literature on cause selecting charts (CSCs) in multistage processes is given, with a concentration on developments which have occurred since 1993. Model based control charts and multiple cause selecting charts (MCSCs) are reviewed. Several articles based on normally and non-normally distributed outgoing quality characteristics are analyzed and important issues such as economic d...
متن کاملA Novel Clustering Approach for Estimating the Time of Step Changes in Shewhart Control Charts
Although control charts are very common to monitoring process changes, they usually do not indicate the real time of the changes. Identifying the real time of the process changes is known as change-point estimation problem. There are a number of change point models in the literature however most of the existing approaches are dedicated to normal processes. In this paper we propose a novel app...
متن کاملA clustering approach to identify the time of a step change in Shewhart control charts
Control charts are the most popular Statistical Process Control (SPC) tools used to monitor process changes. When a control chart indicates an out of control signal it means that the process has changed. However control chart signals do not indicate the real time of process changes, which is essential for identifying and removing assignable causes and ultimately improving the process. Identifyi...
متن کامل