Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/104224
Title: A comparison study of effectiveness and robustness of control charts for monitoring process mean
Authors: Ou, Yanjing
Wu, Zhang
Tsung, Fugee
Keywords: DRNTU::Engineering::Mechanical engineering
Issue Date: 2012
Source: Ou, Y., Wu, Z., & Tsung, F. (2012). A comparison study of effectiveness and robustness of control charts for monitoring process mean. International journal of production economics, 135(1), 479-490.
Series/Report no.: International journal of production economics
Abstract: This article compares the effectiveness and robustness of nine typical control charts for monitoring the mean of a variable, including the most effective optimal and adaptive Sequential Probability Ratio Test (SPRT) charts. The nine charts are categorized into three types (the X¯ type, CUSUM type and SPRT type) and three versions (the basic version, optimal version and fully adaptive (FA) version). While the charting parameters of the basic charts are determined by common wisdoms, the parameters of the optimal and fully adaptive charts are designed optimally in order to minimize an index, Average Extra Quadratic Loss (AEQL), for the best overall performance. A Performance Comparison Index, PCI, is also proposed as the measure of the relative overall performance of the charts. This comparison study does not only compare the detection effectiveness of the charts, but also investigate their robustness in performance. Moreover, the probability distribution of the mean shift δ is studied explicitly as an influential factor in a factorial experiment. Apart from many other findings, the results of this study reveal that the SPRT chart is more effective than the CUSUM chart and chart by 58% and 126%, respectively, from an overall viewpoint. Moreover, it is found that the optimization design of charting parameters can increase the detection effectiveness by 29% on average, and the adaptive features can further enhance the detection power by 35%. Finally, a set of design tables are provided to facilitate the users to select a chart for their applications.
URI: https://hdl.handle.net/10356/104224
http://hdl.handle.net/10220/17002
ISSN: 0925-5273
DOI: 10.1016/j.ijpe.2011.08.026
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:MAE Journal Articles

SCOPUSTM   
Citations 5

100
Updated on Jan 24, 2023

Web of ScienceTM
Citations 5

92
Updated on Jan 30, 2023

Page view(s) 20

608
Updated on Feb 6, 2023

Google ScholarTM

Check

Altmetric


Plumx

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.