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Mixed Control Charts Using EWMA Statistics [PDF]
IEEE Access, 2016 In this paper, two mixed control charts are designed for process monitoring when the quality characteristic of interest follows a normal distribution. The mixed control chart starts with monitoring the number of non-conforming items but switches to monitoring using exponentially weighted moving average (EWMA) statistic or hybrid EWMA statistic when the
Muhammad Aslam +3 more
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Scientific Reports, 2022 AbstractAlong with the development of information and technology, the quality characteristics of a product cannot be monitored separately in the different types of control charts. In the past, conventional control charts were developed to monitor only one type of quality characteristic.
Muhammad Ahsan +2 more
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Modeling the patient mix for risk-adjusted CUSUM charts [PDF]
Statistical Methods in Medical Research, 2022 The improvement of surgical quality and the corresponding early detection of its changes is of increasing importance. To this end, sequential monitoring procedures such as the risk-adjusted CUmulative SUM chart are frequently applied. The patient risk score population (patient mix), which considers the patients’ perioperative risk, is a core component
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Enhanced performance of mixed HWMA-CUSUM charts using auxiliary information
PLOS ONE, 2023 Quality control (QC) is a systematic approach to ensuring that products and services meet customer requirements. It is an essential part of manufacturing and industry, as it helps to improve product quality, customer satisfaction, and profitability. Quality practitioners generally apply control charts to monitor the industrial process, among many other
Faiza Zubair +2 more
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Design Tukey’s Control Chart and mix with CUSUM Control Chart
Journal of Zankoy Sulaimani - Part A, 2022 Statistical process control is a collection of valuable tools for detecting alteration in a process. It has wide application in many areas field and other fields where variation is being monitored. The variation may be a natural cause variation or a particular cause variation.
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The performance of the truncated mixed control chart
Communications in Statistics - Theory and Methods, 2018 When the mixed chart proposed by Aslam et al. (2015) is in use, the sample items are classified as defective or not defective and, depending on the number of defectives, the quality characteristic ...
Roberto Campos Leoni +1 more
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Mixed EWMA-CUSUM and mixed CUSUM-EWMA modified control charts for monitoring first order autoregressive processes [PDF]
Quality Technology & Quantitative Management, 2017 AbstractIn practice most processes are known to produce autocorrelated observations. Autocorrelation degrades the performance of control charts by producing frequent false alarms when the process is stable or makes the charts respond slowly to the detection of out-of-control states. The effects due to autocorrelation can be eliminated by using modified
Osei-Aning, Richard +2 more
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Bearing capacity charts of soft soil reinforced by deep mixing [PDF]
Proceedings of the Institution of Civil Engineers - Ground Improvement, 2017 A series of preliminary design charts were developed to predict the bearing capacity of fully and partially penetrated deep mixing (DM) of soft soil. The charts were produced by a new numerical analysis tool based on discontinuity layout optimisation (DLO) in which a previously proposed homogenisation method was used to define the improvement area. To
Rashid, A. S. A. +4 more
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Comparative Analysis Between EWMA, DEWMA and Mixed Tukey EWMA Control Chart
Academic Science journal, 2023 The control chart is a good tool for monitoring. Single and double exponential weighted moving average control charts are suitable charts to detect small shifts in the process parameters. For good detection, an ability the displaced moving average chart relies depends on the normality assumption.
Kawa M. Jamal Rashid, Sozan S. Haydar
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Impact of Measurement Error on Mixed EWMA-CUSUM Control Chart [PDF]
Scientia Iranica, 2020 In statistical process control, measurement error plays an important role which is usually ignored. Measurement error can lead to incorrect conclusions about the performance of the process. In this paper, we examined the effect of measurement error on the shift detection ability of the mixed exponentially weighted moving average-cummulative sum (EWMA ...
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