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المؤلفYeganeh, Ali
المؤلفAbbasi, Saddam Akbar
المؤلفShongwe, Sandile Charles
تاريخ الإتاحة2022-02-14T09:03:37Z
تاريخ النشر2021-09-15
اسم المنشورIEEE Access
المعرّفhttp://dx.doi.org/10.1109/ACCESS.2021.3107482
الاقتباسA. Yeganeh, S. A. Abbasi and S. C. Shongwe, "A Novel Simulation-Based Adaptive MEWMA Approach for Monitoring Linear and Logistic Profiles," in IEEE Access, vol. 9, pp. 124268-124280, 2021, doi: 10.1109/ACCESS.2021.3107482.
معرّف المصادر الموحدhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85114712111&origin=inward
معرّف المصادر الموحدhttp://hdl.handle.net/10576/26895
الملخصAs a common approach in the development of control charts in Statistical Process Control (SPC), an industrial process is monitored with one or more quality characteristics using their corresponding distributions. Note though, modelling the quality characteristics through a relation between some independent and dependent variables is an alternative approach which is designated as profiles monitoring. This study proposes the integration of the adaptive approach to the conventional Multivariate Exponentially Weighted Moving Average (MEWMA) control chart to improve its detection ability in phase II application. The run length characteristics of the adaptive MEWMA chart are measured with the use of Monte Carlo simulations by which better performance of the proposed method than numerous existing competitors including the conventional MEWMA chart is indicated in monitoring linear and logistic profiles. Finally, a real-life example from semiconductor manufacturing is provided to demonstrate the implementation and superiority of the proposed adaptive MEWMA chart over the conventional MEWMA chart.
اللغةen
الناشرIEEE
الموضوعControl chart
linear profiles
logistic profiles
profile monitoring
statistical process control (SPC)
العنوانA Novel Simulation-Based Adaptive MEWMA Approach for Monitoring Linear and Logistic Profiles
النوعArticle
رقم المجلد9
dc.accessType Open Access


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