Derivation of the Limits for Control Chart Using the Median Absolute Deviation for Monitoring Non-Normal Process

dc.contributor.authorAdekeye, Kayode
dc.date.accessioned2022-02-09T15:41:21Z
dc.date.available2022-02-09T15:41:21Z
dc.date.issued2012
dc.description.abstractThe Shewhart and S control charts, in the literature, were combined to evaluate the stability of a process. These charts were based on the fundamental assumption of normality of the quality characteristics under investigation. In practice, the normality assumption was often violated by real-life data, therefore, the use of the Shewhart X-bar and S control charts on real-life data might lead to misplacement of control limits. There were many alternatives in the literature to handle the nonnormality of quality characteristics. The Median Absolute Deviation (MAD) claimed in the literature to be the best estimate when the data under consideration is non-normal. Thus in this study, we derived the control limits for the control chart using the median absolute deviation for monitoring process stability when the quality characteristic under investigation was non-normal. Results: The derived control limits were compared with the control limits when the sample standard deviation was used as a measure of controlling the process variability using manufacturing process (real-life) data. Furthermore, a simulation study was carried out to evaluate the performance of the proposed MAD based control charts on both normal and non-normal processes. The obtained results show that the derived control limit is an improvement on the control limit of the Shewhart and that the MAD control charts performed better for the non-normal process than for the normal process.en_US
dc.identifier.urihttp://dspace.run.edu.ng:8080/jspui/handle/123456789/1118
dc.language.isoenen_US
dc.subjectMedian Absolute Deviation (MAD)en_US
dc.subjectNon-normalen_US
dc.subjectControl limits intervalen_US
dc.subjectProcess variabilityen_US
dc.titleDerivation of the Limits for Control Chart Using the Median Absolute Deviation for Monitoring Non-Normal Processen_US
dc.typeArticleen_US
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