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On designing an efficient control chart to monitor fraction nonconforming
Quality and Reliability Engineering International, 2019Process control measures are mostly applied in production and manufacturing industries. The most important tool used in these disciplines is control chart.
Zameer Abbas +4 more
semanticscholar +1 more source
Communications in Statistics - Simulation and Computation, 2008
The study proposes a Shewhart-type control chart, namely Q chart, based on inter-quartile range, for monitoring changes (especially of moderate and large amounts which is major concern of Shewhart-type control charts) in process dispersion assuming normality of quality characteristic to be monitored. The design structure of Q chart is developed and its
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The study proposes a Shewhart-type control chart, namely Q chart, based on inter-quartile range, for monitoring changes (especially of moderate and large amounts which is major concern of Shewhart-type control charts) in process dispersion assuming normality of quality characteristic to be monitored. The design structure of Q chart is developed and its
openaire +2 more sources
Quality Management in Health Care, 2004
This article presents the idea of Tukey's Control Chart, a method of analyzing data based on the concepts developed by John Tukey for calculation of confidence intervals for medians. The procedure is simple to implement (no need to calculate averages or standard deviations); it does not assume any distribution of the data; it can be applied to small ...
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This article presents the idea of Tukey's Control Chart, a method of analyzing data based on the concepts developed by John Tukey for calculation of confidence intervals for medians. The procedure is simple to implement (no need to calculate averages or standard deviations); it does not assume any distribution of the data; it can be applied to small ...
openaire +2 more sources
An efficient adaptive EWMA control chart for monitoring the process mean
Quality and Reliability Engineering International, 2018In recent years, the memory‐type control charts—exponentially weighted moving average (EWMA) and cumulative sum (CUSUM)—along with the adaptive and dual control‐charting structures have received considerable attention because of their excellent ability ...
A. Haq, Rabia Gulzar, M. Khoo
semanticscholar +1 more source
Australian Dental Journal, 1974
Abstract— Using a modified DMF index from existing data a method, based on the amount of treatment previously received, is demonstrated for constructing control charts for assessing the effectiveness of and for detecting trends in a school dental service.
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Abstract— Using a modified DMF index from existing data a method, based on the amount of treatment previously received, is demonstrated for constructing control charts for assessing the effectiveness of and for detecting trends in a school dental service.
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A New Process Control Chart for Monitoring Short-Range Serially Correlated Data
Technometrics, 2019–Statistical process control (SPC) charts are critically important for quality control and management in manufacturing industries, environmental monitoring, disease surveillance, and many other applications. Conventional SPC charts are designed for cases
P. Qiu, Wendong Li, Jun Yu Li
semanticscholar +1 more source
Rethinking control chart design and evaluation
Quality Engineering, 2019We discuss some practical issues involving the control of the number of false alarms in process monitoring. This topic is of growing importance as the number of variables being monitored and the frequency of measurement increase.
W. Woodall, F. Faltin
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Bootstrap-based maximum multivariate CUSUM control chart
Quality Technology & Quantitative Management, 2018Maximum multivariate cumulative sum (Max-MCUSUM) is one of the single control charts that plot single statistic as a representation of mean vector and covariance matrix. The Max-MCUSUM statistic has unknown specific distribution.
H. Khusna +4 more
semanticscholar +1 more source
A new Max-HEWMA control chart using auxiliary information
Communications in statistics. Simulation and computation, 2018Statistical process control (SPC) provides tools to monitor the production process in order to avoid losses of the producer. Literature provides many control charts to monitor moderate and small shifts in the process while sensitivity of the charts is ...
Amjad Javaid, M. Amin, M. Hanif
semanticscholar +1 more source