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AuthorRiaz, Muhammad
AuthorSaeed, Usman
AuthorMahmood, Tahir
AuthorAbbas, Nasir
AuthorAbbasi, Saddam Akber
Available date2023-05-28T10:11:28Z
Publication Date2020
Publication NameIEEE Access
ResourceScopus
URIhttp://dx.doi.org/10.1109/ACCESS.2020.3006449
URIhttp://hdl.handle.net/10576/43510
AbstractIn most of the manufacturing processes, we encounter different quality characteristics of a product and process. These characteristics can be categorized into two kinds; study variables (variable of interest) and the supporting/explanatory variables. Sometime, a linear relationship might exist between the study and supporting variable, which is called simple linear profiles. This study focuses on the simple linear profiles under assorted control charting approach to detect the large, moderate and small disturbances in the process parameters. The evaluation of the proposed assorted method is assessed by using numerous performance measures, for instance, average run length, relative average run length, extra and sequential extra quadratic losses. A comparative analysis of the proposal is also carried out with some existing linear profile methods including Shewhart_3, Hotelling's T{2} , EWMA_3, EWMA/R and CUSUM_3 charts. Finally, a real-life application of the proposed assorted chart is presented to monitor thermal management of diamond-copper composite. 2013 IEEE.
SponsorThis work was supported by the Deanship of Scientific Research (DSR) at King Fahd University of Petroleum and Minerals (KFUPM) under Grant SB191043.
Languageen
PublisherInstitute of Electrical and Electronics Engineers Inc.
SubjectControl chart
cumulative sum
exponentially weight moving average
Shewhart
thermal conductivity monitoring
TitleAn Improved Control Chart for Monitoring Linear Profiles and its Application in Thermal Conductivity
TypeArticle
Pagination120679-120693
Volume Number8
dc.accessType Open Access


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