Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/102848
Title: The X control chart for monitoring process shifts in mean and variance
Authors: Khoo, Michael B. C.
Yang, Mei
Wu, Zhang
Lee, Ka Man
Keywords: DRNTU::Engineering::Mechanical engineering
Issue Date: 2012
Source: Yang, M., Wu, Z., Lee, K. M., & Khoo, M. B. C. (2012). The X control chart for monitoring process shifts in mean and variance. International journal of production research, 50(3), 893-907.
Series/Report no.: International journal of production research
Abstract: Control charts are widely used in statistical process control (SPC) to monitor the quality of products or production processes. When dealing with a variable (e.g., the diameter of a shaft, the hardness of a component surface), it is necessary to monitor both its mean and variability (Montgomery 2009 [Montgomery, D.C., 2009. Introduction to statistical quality control. New York: John Wiley & Sons.]). This article studies and compares the overall performances of the X chart and the 3-CUSUM chart for this purpose. The latter is a combined scheme incorporating three individual CUSUM charts and is considered as the most effective scheme for detecting mean shift δμ and/or standard deviation shift δσ in current SPC literature. The results of the performance studies reveal two interesting findings: (1) the best sample size n for an Ẋ chart is always n = 1, in other words, the simplest X chart (i.e., the Ẋ chart with n = 1) is the most effective Ẋ chart for detecting δμ and/or δσ; (2) the simplest X chart often outperforms the 3-CUSUM chart from an overall viewpoint unless the latter is redesigned by a difficult optimisation procedure. However, even the optimal 3-CUSUM chart is only slightly more effective than the X chart unless the process shift domain is quite small. Since the X chart is very simple to understand, implement and design, it may be more suitable in many SPC applications, in which both the mean and variance of a variable need to be monitored.
URI: https://hdl.handle.net/10356/102848
http://hdl.handle.net/10220/16878
DOI: 10.1080/00207543.2010.539283
Rights: © 2012 Taylor & Francis
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:MAE Journal Articles

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