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Showing 1 to 8 of 8 for “"average run length (ARL)"”.

  1. EWMA and CUSUM control charts in the presence of correlation

    … simulation approaches are used to evaluate the average run length (ARL) of exponentially weighted moving average (EWMA) and one-sided cumulative sum (CUSUM) control charts used to monitor the process. The effects of correlation and measurement error on the ARL's of the control charts are studied …

    vt Repository record for EWMA and CUSUM control charts in the presence of correlation (opens in a new tab)

  2. Construction of fuzzy control charts by using triangular and gaussian fuzzy numbers for solder paste thickness

    … of these control charts are compared by using average run length (ARL) to select the best chart to control the production process. Results showed that the new fuzzy control charts by using Gaussian fuzzy numbers are the best chart in monitoring the solder paste thickness showed by the lowest …

    uthm Repository record for Construction of fuzzy control charts by using triangular and gaussian fuzzy numbers for solder paste thickness (opens in a new tab)

  3. An optimization of on-line monitoring of simple linear and polynomial quality functions

    … by using a Genetic Approach (GA). Here the average time to signal (ATS) and the average run length (ARL) are regarded as the objective functions, and ATS and ARL approximations, based on Markov Chain Principals, are extended and modified to capture the special structure of the profile …

    wayne-thes Repository record for An optimization of on-line monitoring of simple linear and polynomial quality functions (opens in a new tab)

  4. Control chart procedures based on cumulative gauging scores

    … sign score vector is also proposed. The exact run length distribution of these cumulative gauging score charts can be obtained by formulating the procedures as Markov chain processes. For some procedures, the average run length (ARL) can be obtained in a closed form expression by solving a …

    vt Repository record for Control chart procedures based on cumulative gauging scores (opens in a new tab)

  5. Statistical process control by quantile approach.

    … be used to calculate process capability index, average run length (ARL), multivariate control chart and control chart for mixture distribution for non-normal situations. This methodology can be easily adopted by the practitioner of statistical process control.

    sheffield-hallam Repository record for Statistical process control by quantile approach. (opens in a new tab)

  6. Prospective Spatio-Temporal Surveillance Methods for the Detection of Disease Clusters

    … is considered by determining the in-control average run length (ARL) performance for different space and time closeness thresholds as well as for different control limit values. The effect of nonuniform population density and region shape on the in-control ARL is explained and some issues …

    vt Repository record for Prospective Spatio-Temporal Surveillance Methods for the Detection of Disease Clusters (opens in a new tab)

  7. Dynamic Probability Control Limits for Risk-Adjusted Bernoulli Cumulative Sum Charts

    … for the chart leads to quite variable in-control average run length (ARL) performance for patient populations with different risk score distributions. To overcome this problem, the simulation-based dynamic probability control limits (DPCLs) patient-by-patient for the risk-adjusted Bernoulli CUSUM …

    vt Repository record for Dynamic Probability Control Limits for Risk-Adjusted Bernoulli Cumulative Sum Charts (opens in a new tab)

  8. Process Monitoring with Multivariate Data:Varying Sample Sizes and Linear Profiles

    … The multivariate exponentially weighted moving average (MEWMA) control chart is one of the most commonly recommended tools for multivariate process monitoring. The standard practice, when using the MEWMA control chart, is to take samples of fixed size at regular sampling intervals for each …

    vt Repository record for Process Monitoring with Multivariate Data:Varying Sample Sizes and Linear Profiles (opens in a new tab)