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المؤلفRiaz M.
المؤلفMahmood T.
المؤلفAbbas N.
المؤلفAbbasi S.A.
تاريخ الإتاحة2020-04-01T09:45:59Z
تاريخ النشر2019
اسم المنشورQuality and Reliability Engineering International
المصدرScopus
الرقم المعياري الدولي للكتاب7488017
معرّف المصادر الموحدhttp://dx.doi.org/10.1002/qre.2498
معرّف المصادر الموحدhttp://hdl.handle.net/10576/13750
الملخصControl charts are often used for the monitoring of quality characteristics of interest. There may exist some other characteristics that are associated with the main quality characteristic. A model that quantifies the relationship between them is termed as a profile, for instance, the relation between charge and capacitance. The monitoring of the main variable that is linearly related with an associated explanatory variable is termed as simple linear profiles' monitoring. It is a common practice to use simple random sampling (SRS) for profile monitoring. This study intends to enhance profile monitoring by considering modified successive sampling (MSS) approach. The performance of the existing and the proposed schemes are evaluated using the well-known metrics average run length. The comparative analysis revealed that the proposed structure outperforms the existing ones in terms of efficiency. A real application from electrical engineering is used to show the implementation of our proposal in practice. - 2019 John Wiley & Sons, Ltd.
راعي المشروعThe authors are thankful to the anonymous reviewer for the constructive comments that helped in improving the last version of the paper. The authors are also like to acknowledge the support provided by the Deanship of Scientific Research (DSR) at King Fahd University of Petroleum & Minerals (KFUPM) for funding this work through project No. IN171016.
اللغةen
الناشرJohn Wiley and Sons Ltd
الموضوعaverage run length
control charts
modified successive sampling
phase II analysis
process monitoring
العنوانOn improved monitoring of linear profiles under modified successive sampling
النوعArticle
الصفحات2202-2227
رقم العدد7
رقم المجلد35
dc.accessType Abstract Only


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