Multioutput LS-SVR based residual MCUSUM control chart for autocorrelated process
نویسندگان
چکیده
منابع مشابه
Mcusum Control Chart Procedure: Monitoring the Process Mean with Application
Multivariate cumulative sum (MCUSUM) control charts are widely used in industry because they are powerful and easy to use. They cumulate recent process data to quickly detect out-of-control situations. MCUSUM procedures will usually give tighter process control than classical quality control charts. A MCUSUM signal does not mean that the process is producting bad product. Rather it means that a...
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Control Chart for Monitoring Autocorrelated Process with Multiple Exogenous Inputs Sofia Criselda A. Poblador Ma. & Erniel B. Barrios Ph.D. Prof. a University of the Philippines Manila, Manila, Philippines, Email: b University of the Philippines Diliman, School of Statistics, School of Statistics Building, Magsaysay Ave., Diliman, Quezon City, 1101 Philippines, Email: Accepted author version po...
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Usually, in monitoring a proportion p < /em>, the binary observations are considered independent; however, in many real cases, there is a continuous stream of autocorrelated binary observations in which a two-state Markov chain model is applied with first-order dependence. On the other hand, the Bernoulli CUSUM control chart which is not robust to autocorrelation can be applied two-sided co...
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Previously, quality control and improvement researchers discussed multivariate control charts for independent processes and univariate control charts for autocorrelated processes separately. We combine the two topics and propose vector autoregressive (VAR) control charts for multivariate autocorrelated processes. In addition, we estimateAR(p) models instead ofARMAmodels for the systematic cause...
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ژورنال
عنوان ژورنال: Journal of the Korean Data and Information Science Society
سال: 2016
ISSN: 1598-9402
DOI: 10.7465/jkdi.2016.27.2.523