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AuthorAbbasi, Saddam Akber
AuthorAdegoke, Nurudeen A.
Available date2023-05-28T10:11:26Z
Publication Date2020
Publication NameQuality and Reliability Engineering International
ResourceScopus
URIhttp://dx.doi.org/10.1002/qre.2699
URIhttp://hdl.handle.net/10576/43486
AbstractThe inclusion of correlated auxiliary variables into the monitoring scheme of quality characteristic of interest has gained notable attention in recent statistical process control (SPC) literature. Several authors have investigated the use of a correlated auxiliary variable for efficient monitoring of variability in Phase II of SPC. This phase is generally used to detect any shifts in the expected behavior of the process parameters which are often estimated from the historical in-control process in Phase I. However, no study has investigated the performance of auxiliary-based variability charts in Phase I of SPC. Here, we propose auxiliary-based dispersion control charts in Phase I of SPC. The auxiliary information is considered in the forms of regression, ratio, exponential, and power-ratio forms. The performance of the variability charts is evaluated and compared using probability to signal as a performance measure. An illustrative example is also provided to show the application of the charts. This study will provide practitioners with appropriate recommendations on the choice of dispersion charts for Phase I analysis.
Languageen
PublisherJohn Wiley and Sons Ltd
Subjectcontrol charts
process monitoring and control
six sigma
statistical quality control
TitleAuxiliary-information-based efficient variability control charts for Phase I of SPC
TypeArticle
Pagination2322-2337
Issue Number7
Volume Number36
dc.accessType Abstract Only


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