What is it about?
This technical case study evaluates purified-water monitoring data from two points-of-use, ζ and Ψ, during July to September 2018. The study compares I-MR control charts with Laney-modified attribute charts for non-normally distributed conductivity and total organic carbon data.
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Why is it important?
The study shows that useful control charts can be generated without extensive transformation or removal of unusual values. This matters for QC teams because it supports faster trending decisions, early detection of out-of-control signals, and better maintenance of purified-water systems in healthcare settings.
Perspectives
Both I-MR and Laney charts were useful for “wild” data, but I-MR charts offered greater alarm sensitivity and included moving-range information. The practical perspective is to use control charts as an early warning tool, investigate assignable causes, improve plant control, and only then calculate process capability.
Independent Researcher & Consultant Mostafa Essam Eissa
Read the Original
This page is a summary of: Application of control charts for non-normally distributed data using statistical software program: A technical case study, February 2019, GSC Online Press,
DOI: 10.30574/wjarr.2019.1.1.0013.
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