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المؤلفKim, S.
المؤلفKim, J.
المؤلفJeong, M. K.
المؤلفAl-Khalifa, K. N.
المؤلفHamouda , A. M. S.
المؤلفElsayed, E. A.
تاريخ الإتاحة2020-05-15T00:15:04Z
تاريخ النشر2019
اسم المنشورQuality Technology and Quantitative Management
المصدرScopus
الرقم المعياري الدولي للكتاب16843703
معرّف المصادر الموحدhttp://dx.doi.org/10.1080/16843703.2017.1335495
معرّف المصادر الموحدhttp://hdl.handle.net/10576/14938
الملخصMultistage statistical process control (SPC) is an effective procedure for ensuring quality of products in multistage manufacturing processes. Effective SPC approaches for monitoring and controlling quality in multistage processes are limited. Beta distributed data explained by process input variables are generally prevalent in multistage process industries. In this paper, we propose a generalized linear model for beta-distributed data in multistage processes in order to estimate the distribution parameters and develop two approaches for process monitoring and control: they are model-based SPC charts and a beta regression model. The proposed control charts outperform the existing control charts in terms of the out-of-control average run length for the detection of process mean shifts. 2017, 2017 International Chinese Association of Quantitative Management.
راعي المشروعThe authors are very grateful to the editor and two anonymous referees for their valuable and constructive comments and suggestions which greatly improved the final version of this paper. This paper was made possible by the support of NPRP 5-364-2-142 grant from Qatar National Research Fund (QNRF). The statements made herein are solely the responsibility of the authors. This work is based on an earlier conference paper by Hwang et al: Hwang, W., Al-Khalifa, K.N., Hamouda, A.M.S., Jeong, M.K., & Elsayed, E.A. (2014). Multistage Statistical Process Control for Parametric Variables. International Conference on Quality, Reliability, Risk, Maintenance and Safety Engineering. Dalian, China, July 22-25, 2014.
اللغةen
الناشرTaylor and Francis Ltd.
الموضوعBeta regression
deviance residual
model-based control charts
multistage statistical process control
quantile
Shewhart
العنوانMonitoring and control of beta-distributed multistage production processes
النوعArticle
رقم العدد1
رقم المجلد16
dc.accessType Abstract Only


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