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المؤلفArslan, Muhammad
المؤلفAshraf, Muhammad Azeem
المؤلفAnwar, Syed Masroor
المؤلفRasheed, Zahid
المؤلفHu, Xuelong
المؤلفAbbasi, Saddam Akbar
تاريخ الإتاحة2023-05-28T10:11:28Z
تاريخ النشر2022
اسم المنشورMathematical Problems in Engineering
المصدرScopus
معرّف المصادر الموحدhttp://dx.doi.org/10.1155/2022/1362193
معرّف المصادر الموحدhttp://hdl.handle.net/10576/43514
الملخصThe classical cumulative SUM (CUSUM) chart is commonly used to monitor a particular size of the mean shift. In many real processes, it is assumed that the shift level varies within a range, and the exact level of the shift size is mostly unknown. For detecting a range of shift size, the dual-CUSUM (DC) and dual-Crosier CUSUM (DCC) charts are used to provide better detection ability as compared to the CUSUM and Crosier CUSUM (CC) charts, respectively. This paper introduces a new mixed exponentially weighted moving average (EWMA)-DCC (EDCC) chart to monitor process mean. In addition, AIB-based EWMA-DC (EDC) and EDCC charts (namely, AIB-EDC and AIB-EDCC charts) are suggested to detect shifts in the process mean level. Monte Carlo simulations are used to compute the run length (RL) characteristics of the proposed charts. A detailed comparison of the proposed schemes with other competing charts is also provided. It turns out that the proposed chart provides better performance than the counterparts when detecting a range of mean shift sizes. A real-life application is also presented to illustrate the implementation of the existing and proposed charts. 2022 Muhammad Arslan et al.
اللغةen
الناشرHindawi Limited
الموضوعIntelligent systems
Monte Carlo methods
Auxiliary information
CUSUM chart
Detection ability
Exponentially weighted moving average
Mean charts
Mean shift
Monte Carlo's simulation
Performance
Process mean
Run length
Graphic methods
العنوانNovel Mixed EWMA Dual-Crosier CUSUM Mean Charts without and with Auxiliary Information
النوعArticle
رقم المجلد2022
dc.accessType Open Access


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