Abstract: Effective measurement for successful Statistical Process Control (SPC) implementations across any level of Capability Maturity Model (CMM) is not a very straightforward activity. Based on ...

ABSTRACT: This article exploits the statistical distance T2 for the detection of cutting tool drift in the case of CNC machine tools. We present a control approach based on the T2 chart and inertial ...

This asynchronous course addresses the basic theory behind Statistical Process Control (SPC), a method used in monitoring and controlling the quality of a process through statistical analysis to ...

ABSTRACT: Introduction: Advanced radiotherapy methods include Intensity modulated radiotherapy (IMRT) and volumetric modulated arc therapy (VMAT) requiring stringent quality assurance (QA) to ensure ...

Innovation in health care relies on the ability to figure out what the data is trying to teach us. Data analytics, including but not limited to GenAI powered data analytics, presents an insatiable ...

Process variability is inherent in metal additive manufacturing (AM). However, it is often overlooked in process optimization frameworks, constraining the understanding of process uncertainties and ...

Abstract: Statistical Process Control and control charts, long-established quality control methodologies in manufacturing and process industries, have recently emerged as powerful tools for monitoring ...

The analysis of covariance (Ancova) is a widely used statistical technique for the comparison of groups with respect to a quantitative dependent variable in such a way that the comparison takes into ...