ESTIMATION OF THE CHANGE POINT OF THE PROCESS FRACTION NONCONFORMING IN SPC APPLICATIONS-Reference-Cited by-同舟云学术

ESTIMATION OF THE CHANGE POINT OF THE PROCESS FRACTION NONCONFORMING IN SPC APPLICATIONS

Published:2005-04 Issue:02 Volume:12 Page:95-110
ISSN:0218-5393
Container-title:International Journal of Reliability, Quality and Safety Engineering
language:en
Short-container-title:Int. J. Rel. Qual. Saf. Eng.

Author:

PERRY MARCUS B.¹,PIGNATIELLO JOSEPH J.²

Affiliation:

1. Air Force Institute of Technology, Department of Operational Sciences, Wright-Patterson AFB OH 45433-7745, USA

2. Florida State University, Florida A&M University, Department of Industrial Engineering, Tallahassee, FL 32310-6046, USA

Abstract

Knowing when a process has changed would simplify the search for and identification of the special cause. In this paper, we compare the maximum likelihood estimator (MLE) of the process change point (that is, when the process changed) to built-in change point estimators from binomial CUSUM and EWMA control charts. We conclude that it is better to use the maximum likelihood change point estimator when a CUSUM or EWMA control chart signals a change in the process fraction nonconforming. The results show that the MLE provides process engineers with an accurate and useful estimate of the last subgroup from the unchanged process.

Publisher

World Scientific Pub Co Pte Lt

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Energy Engineering and Power Technology,Aerospace Engineering,Safety, Risk, Reliability and Quality,Nuclear Energy and Engineering,General Computer Science

Link

https://www.worldscientific.com/doi/pdf/10.1142/S0218539305001719

Reference8 articles.

1. An approach to the probability distribution of cusum run length

2. Monitoring observations generated from a binomial distribution using modified exponentially weighted moving average control chart

3. Cumulative Sum Charts and Charting for Quality Improvement

4. A comparison of control charts from the viewpoint of change-point estimation

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