Results 221 to 230 of about 143,917 (257)

Auxiliary Information Based Mixed EWMA–CUSUM Mean Control Chart with Measurement Error

Iranian Journal of Science and Technology, Transactions A: Science, 2019
Measurement error is a usually met distortion factor in real-world applications that influences the outcome of a process. The performance of the control charts can be affected in the presence of measurement error which also leads to erroneous conclusions regarding the average run length.
Afshan Riaz, Muhammad Noor-ul-Amin, Muhammad Ahmed Shehzad, Muhammad Ismail   +3 more
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On mixed memory control charts based on auxiliary information for efficient process monitoring

Quality and Reliability Engineering International, 2020
AbstractControl 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, Muhammad Aslam, Muhammad Riaz, Babar Zaman   +3 more
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A Mixed EWMA–CUSUM Control Chart for Weibull‐Distributed Quality Characteristics

Quality and Reliability Engineering International, 2016
The 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
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On a class of mixed EWMA‐CUSUM median control charts for process monitoring

Quality and Reliability Engineering International, 2020
AbstractMonitoring 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, Xiaoguang Wang, Shabbir Ahmad, Muhammad Riaz   +3 more
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Ternary and Multivariate Quality Control Charts of Aggregate Gradation for Hot Mix Asphalt

Journal of Materials in Civil Engineering, 2004
Several statistical methods for controlling the quality of aggregate gradation are proposed, based on a multivariate model that describes compositional data. First, ternary quality control charts are developed to control a three-part gradation such as that given by the restricted zone method, with both hexagonal and elliptical acceptance regions ...
Guiqin Yang, Daren B. H. Cline, Robert L. Lytton, Dallas N. Little   +3 more
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On increasing the sensitivity of mixed EWMA–CUSUM control charts for location parameter

Journal of Applied Statistics, 2015
Control chart is an important statistical technique that is used to monitor the quality of a process. Shewhart control charts are used to detect larger disturbances in the process parameters, whereas cumulative sum (CUSUM) and exponential weighted moving average (EWMA) are meant for smaller and moderate changes.
Jimoh Olawale Ajadi, Muhammad Riaz, Khalid Al-Ghamdi   +2 more
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A mixed cumulative sum homogeneously weighted moving average control chart for monitoring process mean

Quality and Reliability Engineering International, 2020
AbstractThe homogeneously weighted moving average (HWMA) control chart is famous to identify small deviations in the process mean. The plotting statistic of the HWMA chart assigns equal weight among the previous samples as compared to the plotting statistic of the exponentially weighted moving average chart.
Muhammad Abid, Sun Mei, Hafiz Zafar Nazir, Muhammad Riaz, Shahid Hussain, Zameer Abbas   +5 more
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The use of patient mix‐adjusted control charts to compare in‐hospital costs of care

Health Care Management Science, 1999
We introduce a technique for patient mix-adjusting x charts and compared differences between unadjusted and patient mix-adjusted results. Our data came from coronary artery bypass graft (CABG) surgery patients at Baptist Medical Center, Oklahoma City, Oklahoma.
E L, Eisenstein, C F, Bethea
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Distribution-free control charts for mixed-type data based on rank of interpoint distances

Statistical Methods in Medical Research
Multivariate control charts have found wide application in healthcare, yet they primarily cater to continuous or categorical variables. However, the emergence of mixed-type data has sparked interest in adapting traditional control charts to handle such complexity.
Guojun Liu, Jyun-You Chiang, Yajie Bai, Zhengcheng Mou   +3 more
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Combining attribute and variable data to monitor process variability: MIX S 2 control chart

The International Journal of Advanced Manufacturing Technology, 2016
The necessity to monitor process variability to maintain similar, but more economical, performance to that of the S2 control chart in terms of ARL1 is the motivation of this paper. In general, a sample of four to six units is used to build an S2 control chart.
Linda Lee Ho, Roberto da Costa Quinino
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