The Hotelling’s <InlineEquation ID="IEq4"> <EquationSource Format="TEX">$$\textit{T}^{2 }$$</EquationSource> <EquationSource Format="MATHML"> <math xmlns:xlink="http://www.w3.org/1999/xlink"> <msup> <mi mathvariant="italic">T</mi> <mn>2</mn> </msup> </math> </EquationSource> </InlineEquation>control chart with variable parameters (VP <InlineEquation ID="IEq5"> <EquationSource Format="TEX">$$T^{2})$$</EquationSource> <EquationSource Format="MATHML"> <math xmlns:xlink="http://www.w3.org/1999/xlink"> <mrow> <msup> <mi>T</mi> <mn>2</mn> </msup> <mrow> <mo>)</mo> </mrow> </mrow> </math> </EquationSource> </InlineEquation> has been shown to have better statistical performance than other adaptive control schemes in detecting small to moderate process mean shifts. In this paper, we investigate the...</equationsource></equationsource></inlineequation></equationsource></equationsource></inlineequation>