A new variables control chart for simultaneously monitoring multivariate process mean and variability

Arthur B. Yeh, Dennis K.J. Lin

Research output: Contribution to journalArticle

26 Scopus citations

Abstract

In this paper, we propose a new variables control chart, called the box-chart, to simultaneously monitor, on a single chart, the process mean and process variability for multivariate processes. The box-chart uses a probability integral transformation to obtain two independently and identically distributed uniform distributions. Therefore, a box-shaped (thus the name), two-dimensional control chart can be constructed. We discuss in detail on how to construct the box-chart. The proposed chart is applied to two real-life examples. The performance of the box-chart is also compared to that of the traditional T 2 - and |S|-charts.

Original languageEnglish (US)
Pages (from-to)41-59
Number of pages19
JournalInternational Journal of Reliability, Quality and Safety Engineering
Volume9
Issue number1
DOIs
StatePublished - Mar 1 2002

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Nuclear Energy and Engineering
  • Safety, Risk, Reliability and Quality
  • Aerospace Engineering
  • Energy Engineering and Power Technology
  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'A new variables control chart for simultaneously monitoring multivariate process mean and variability'. Together they form a unique fingerprint.

  • Cite this