Journal ArticleDOI
Optimal designs of the double sampling X¯ chart with estimated parameters
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TLDR
In this paper, the authors evaluate the performance of the DS X ¯ chart when process parameters are estimated by means of a new proposed theoretical method, and show that performances with estimated parameters are different from that with known parameters, and propose three optimal design procedures.About:
This article is published in International Journal of Production Economics.The article was published on 2013-07-01. It has received 36 citations till now. The article focuses on the topics: X-bar chart & \bar x and R chart.read more
Citations
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Journal ArticleDOI
Recent Advances in Process Monitoring: Nonparametric and Variable-Selection Methods for Phase I and Phase II
TL;DR: In this article, the need for a nonparametric approach to phase I analysis and the use of variable selection-based control charts in multivariate phase II monitoring is reviewed and discussed.
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Design of exponential control charts based on average time to signal using a sequential sampling scheme
TL;DR: The average time to signal (ATS) is used instead of the average run length to evaluate the performance of TBE charts, since the ATS involves both the number and the time of samples inspected until a signal occurs.
Journal ArticleDOI
Design of Gamma Charts Based on Average Time to Signal
TL;DR: For the phase I monitoring, a new ATS-unbiased design with unknown parameters is developed, and a sequential sampling scheme is adopted to start process monitoring as soon as possible.
Journal ArticleDOI
Optimal designs of the variable sample size and sampling interval X¯ chart when process parameters are estimated
TL;DR: In this article, the Markov chain approach for the variable sample size and sampling interval (VSSI) X ¯ chart with estimated parameters is developed to facilitate process monitoring in manufacturing and service industries.
Journal ArticleDOI
Synthetic Double Sampling X̄ Chart with Estimated Process Parameters
TL;DR: In this article, the performance of the SDS X chart with estimated process parameters was investigated in terms of the average run length (ARL), average number of observations to signal (ANOS), and standard deviation of the run length.
References
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Journal ArticleDOI
Design and analysis of control charts for standard deviation with estimated parameters
TL;DR: In this article, the authors proposed a robust estimation method based on the mean absolute deviation from the median supplemented with a simple screening method, which is efficient under normality and performs substantially better than traditional estimators and several robust proposals when contaminations are present.
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An economic-statistical design of double sampling control chart
TL;DR: In this paper, double sampling (DS) X ¯ chart was modified by adding the statistical constraints to develop the design model of DS X¯ chart for the optimization of design parameters, including sample size, control limit coefficient, warning limit coefficient and sampling interval.
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The Variable Sample Size X¯ Chart with Estimated Parameters
TL;DR: In this paper, the authors evaluate the performance of the VSS chart when the process parameters are estimated, and compare them in the case when the parameters are assumed known and propose specific optimal control chart parameters taking the number of Phase I samples into account.
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Process monitoring for mean shifts for multiple stage processes
TL;DR: In this article, a monitoring scheme for detecting a mean shift in a multistage manufacturing process for a gamma distributed response and/or a mixture of normally and non-normally distributed variables (and gamma distributed responses) is presented.
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An economic design of combined double sampling and variable sampling interval X¯ control chart
TL;DR: In this article, a combination of double sampling X ¯ chart and variable sampling intervals X¯ chart (DSVSI) is used to reduce the detection time of small mean shift.