Optimization designs of the combined Shewhart-CUSUM control charts
From MaRDI portal
Publication:961142
DOI10.1016/j.csda.2008.08.032zbMath1301.62133OpenAlexW2050618921MaRDI QIDQ961142
Wei Jiang, Mei Yang, Michael B. C. Khoo, Zhang Wu
Publication date: 30 March 2010
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.csda.2008.08.032
Related Items (18)
Side-sensitive synthetic and runs-rules charts for monitoring AR(1) processes with skipping sampling strategies ⋮ Distribution-free precedence schemes with a generalized runs-rule for monitoring unknown location ⋮ The new synthetic and runs-rules schemes to monitor the process mean of autocorrelated observations with measurement errors ⋮ One-sided precedence monitoring schemes for unknown shift sizes using generalized 2-of-(h+1) and w-of-w improved runs-rules ⋮ A new double sampling X¯ control chart for monitoring an abrupt change in the process location ⋮ Shewhart-type monitoring schemes with supplementary w-of-w runs-rules to monitor the mean of autocorrelated samples ⋮ A new variable control chart under generalized multiple dependent state sampling ⋮ On designing new optimal synthetic Tukey’s control charts ⋮ Optimal design of the adaptive exponentially weighted moving average control chart over a range of mean shifts ⋮ A combined control scheme for monitoring the frequency and size of an attribute event ⋮ One-sided and two-sided \(w\)-\textit{of}-\(w\) runs-rules schemes: an overall performance perspective and the unified run-length derivations ⋮ An EWMA chart for monitoring the process standard deviation when parameters are estimated ⋮ Using a Single Average Loss Control Chart to Monitor Process Mean and Variability ⋮ A Study on EWMA charts with runs rules—the Markov chain approach ⋮ A new variable sample size control chart using MDS sampling ⋮ Distribution-free cumulative sum and exponentially weighted moving average control charts based on the Wilcoxon rank-sum statistic using ranked set sampling for monitoring mean shifts ⋮ A synthetic control chart for the coefficient of variation ⋮ A side-sensitive double sampling X¯ monitoring scheme with estimated process parameters
Cites Work
- Unnamed Item
- A process variability control chart
- The quality control chart for monitoring multivariate autocorrelated processes
- Detection of chatter vibration in a drilling process using multivariate control charts
- Adaptive CUSUM procedures with Markovian mean estimation
- The Economic Design of | barX Charts used to Maintain Current Control of a Process
- CUSUM Chart with Transformed Exponential Data
- Adjusted-loss-function charts with variable sample sizes and sampling intervals
- Modelling of unexpected shift in SPC
- Optimization of design parameters for control charts with multiple assignable causes
- CUSUM method in predicting regime shifts and its performance in different stock markets allowing for transaction fees
- CUSUM Charts with Variable Sampling Intervals
- A One-Sided EWMA Control Chart for Monitoring Process Means
- An accurate algorithm to compute the run length probability distribution, and its convolutions, for a cusum chart to control normal mean
This page was built for publication: Optimization designs of the combined Shewhart-CUSUM control charts
