An overview of Phase I analysis for process improvement and monitoring

L. Allison Jones-Farmer, William H. Woodall, Stefan H. Steiner, Charles W. Champ

Research output: Contribution to journalSystematic reviewpeer-review

188 Scopus citations

Abstract

We provide an overview and perspective on the Phase I collection and analysis of data for use in process improvement and control charting. In Phase I, the focus is on understanding the process variability, assessing the stability of the process, investigating process-improvement ideas, selecting an appropriate in-control model, and providing estimates of the in-control model parameters. In our article, we review and synthesize many of the important developments that pertain to the analysis of process data in Phase I. We give our view of the major issues and developments in Phase I analysis. We identify the current best practices and some opportunities for future research in this area.

Original languageEnglish
Pages (from-to)265-280
Number of pages16
JournalJournal of Quality Technology
Volume46
Issue number3
DOIs
StatePublished - Jul 2014

Scopus Subject Areas

  • Safety, Risk, Reliability and Quality
  • Strategy and Management
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering

Keywords

  • Assignable cause
  • Change point
  • Common cause variation
  • Control chart
  • Self-starting chart
  • Spc
  • Statistical process control

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