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A Mixed EWMA–CUSUM Control Chart for Weibull‐Distributed Quality Characteristics
Quality and Reliability Engineering International, 2016The control charts have been widely used for process monitoring. Shewhart control chart has ability to detect large disturbances in the process. The EWMA and CUSUM charts have ability to detect a small change in the manufacturing process. In this paper, we will design a mixed EWMA–CUSUM control chart for Weibull‐distributed quality characteristics. The
Muhammad Aslam
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ABSTRACT A sensory panel is often used to profile the same type of product with the same set of attributes for many years. We are interested in characterizing the evolution of the performance of such a panel (and its panelists) over time. This article presents a methodology based on a mixed‐model approach that takes into account the evolution of both ...
Pineau, Nicolas +2 more
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Multivariate semiparametric control charts for mixed-type data
Statistical Methods in Medical Research, 2023A useful tool that has gained popularity in the Quality Control area is the control chart which monitors a process over time, identifies potential changes, understands variations, and eventually improves the quality and performance of the process.
Elisavet M Sofikitou +2 more
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Quality and Reliability Engineering International, 2021
AbstractControl charts are designed under the normality assumption of the quality characteristic of the process. However, the normality assumption rarely holds in practice. In non‐normal conditions, parametric charts tend to display more false alarm rates and invalid out‐of‐control comparisons.
Saber Ali +5 more
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AbstractControl charts are designed under the normality assumption of the quality characteristic of the process. However, the normality assumption rarely holds in practice. In non‐normal conditions, parametric charts tend to display more false alarm rates and invalid out‐of‐control comparisons.
Saber Ali +5 more
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On Designing Mixed Nonparametric Control Chart for Monitoring the Manufacturing Processes
Arabian Journal for Science and Engineering, 2021Efficient control charts are used to maintain and improve the manufacturing, industrial and service processes. Control chart is a basic tool of quality practitioners for producing products that meet market requirements in terms of quality, reliability and functionality. Lack of normality is a common occurrence in these processes.
Saber Ali +5 more
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On a class of mixed EWMA‐CUSUM median control charts for process monitoring
Quality and Reliability Engineering International, 2020AbstractMonitoring of any manufacturing, production, or industrial process can be controlled and improved by removing these special cause of variations using control charts. Shewhart‐type control charts are effective to control a large amount of special variations, whereas, cumulative sum (CUSUM) and exponentially weighted moving average (EWMA) charts ...
Shahid Hussain 0005 +3 more
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Distribution-free Mixed CUSUM-MA Control Chart to Detect Mean Shifts
Lobachevskii Journal of MathematicsYupaporn Areepong +2 more
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Mixed CUSUM-EWMA chart for monitoring process dispersion
Every industrial process has to encounter two types of variation in product characteristic(s) that can be classified as common and special cause variations.
Babar Zaman +2 more
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On mixed memory control charts based on auxiliary information for efficient process monitoring
Quality and Reliability Engineering International, 2020AbstractControl charts are popular monitoring tools in statistical process control toolkit. These are used to identify assignable causes in the process parameters (location and/or dispersion). These assignable causes result in a shift in the process parameter(s). The shift can be categorized into three sizes (small, moderate, and large). Memory control
Syed Masroor Anwar +3 more
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A mixed GWMA–CUSUM control chart for monitoring the process mean
Communications in Statistics - Theory and Methods, 2017ABSTRACTThe memory-type control charts are widely used in the process and service industries for monitoring the production processes. The reason is their sensitivity to quickly react against the small process disturbances. Recently, a new cumulative sum (CUSUM) chart has been proposed that uses the exponentially weighted moving average (EWMA) statistic,
Rizwan Ali, Abdul Haq
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