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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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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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A mixed control chart using process capability index
Sequential Analysis, 2017ABSTRACTControl charts are considered as a compulsory tool for the monitoring and improvement of the quality of products. The commonly used attribute and the variable control charts are unsatisfactory for process monitoring. To overcome this difficulty, we proposed a monitoring scheme that is an improved technique based on the joint merits of the ...
Aslam, M. +4 more
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A mixed control chart to monitor the process
International Journal of Production Research, 2015In this paper, we propose a mixed control chart to monitor the process quality using attribute data combined with variable data. The proposed control chart proceeds like an np control chart based on the number of nonconforming parts but requires variable data only when the decision is indeterminate.
Aslam, M, Azam, M, Khan, N, Jun, CH
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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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Mixed Tukey EWMA-CUSUM control chart and its applications
Quality Technology & Quantitative Management, 2017AbstractTukey control chart (TCC) is a popular choice for robust monitoring of process parameters. With the advancement in technology, we develop refined techniques that incorporate multiple aspects in a single structure. This article is a similar effort to design an improved charting structure in the form of mixed Tukey EWMA-CUSUM chart (namely MEC ...
Muhammad Riaz +2 more
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A mixed nonparametric control chart for efficient process monitoring
The International Journal of Advanced Manufacturing Technology, 2018In this paper, we propose a nonparametric mixed control chart using exponentially weighted moving average and cumulative sum (statistics for efficient monitoring of quality characteristic). The proposed control chart, namely NPMEC chart, proceeds in two steps.
Atif Abbasi +2 more
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Mixed multivariate EWMA-CUSUM control charts for an improved process monitoring
Communications in Statistics - Theory and Methods, 2017ABSTRACTMultivariate exponential weighted moving average and cumulative sum charts are the most common memory type multivariate control charts. They make use of the present and past information to detect small shifts in the process parameter(s). In this article, we propose two new multivariate control charts using a mixed version of their design setups.
Jimoh Olawale Ajadi, Muhammad Riaz
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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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A Mixed Cumulative Sum-Tukey’s Control Chart for Detecting Process Dispersion
The Journal of King Mongkut's University of Technology North Bangkok, 2019The objective of this research is to propose a mixed Cumulative Sum-Tukey Control Chart (CUSUMTCC) for detecting process dispersion using the range, when the process is symmetric and asymmetric distributions.The performance of CUSUM-TCC is compared with Tukey’s Control Chart (TCC), Cumulative Sum Control Chart (CUSUM) and Exponentially Weighted Moving ...
Rawewarlee Thitisoowaranon +2 more
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