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المؤلفAbbasi, Saddam Akber
المؤلفYeganeh, Ali
المؤلفShongwe, Sandile C.
تاريخ الإتاحة2023-05-28T10:11:27Z
تاريخ النشر2022
اسم المنشورScientific Reports
المصدرScopus
معرّف المصادر الموحدhttp://dx.doi.org/10.1038/s41598-022-18381-8
معرّف المصادر الموحدhttp://hdl.handle.net/10576/43502
الملخصTo monitor the quality of a process in statistical process control (SPC), considering a functional relationship between a dependent variable and one or more independent variables (which is denoted as profile monitoring) is becoming an increasingly common approach. Most of the studies in the SPC literature considered parametric approaches in which the functional relationship has the same form in the in-control (IC) and out-of-control (OC) situations. Non-parametric profiles, which have a different functional relationship in the OC conditions are very common. This paper designs a novel control chart to monitor not only the regression parameters but also the variation of the profiles in Phase II applications using an adaptive approach. Adaptive control charts adjust the final statistic with regard to information of the previous samples. The proposed method considers the relative distance of the chart statistic to the control limits as a tendency index and provides some outcomes about the process condition. The results of Monte Carlo simulations show the superiority of the proposed monitoring scheme in comparison with the common non-parametric control charts. 2022, The Author(s).
راعي المشروعThe publication of this article was funded by Qatar National Library.
اللغةen
الناشرNature Research
الموضوعarticle
controlled study
Monte Carlo method
Monte Carlo method
Monte Carlo Method
Chemical engineering
Engineering
العنوانMonitoring non-parametric profiles using adaptive EWMA control chart
النوعArticle
رقم العدد1
رقم المجلد12
dc.accessType Open Access


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