On-line monitoring of quality characteristics is essential to limit scrap and rework costs due to bad quality in a manufacturing process. In several manufacturing environments, during production process data can be massively collected with high sampling rates and tight sampling frequencies. As a...

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>

On-line monitoring of process variability is strategic to achieve high standards of quality and maintain at acceptable levels the number of nonconforming items. Shewhart control charts are the simplest Statistical Process Control (SPC) procedure to achieve this goal. An efficient implementation...

Often the manufacturing and the inspection workstations in a manufacturing process can coincide: thus, in these workstations the statistical process control (SPC) procedure of collecting sample statistics related to a critical-to-quality parameter is a task required to be done by the same worker...