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 journalArticlepeer-review

178 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 languageAmerican English
JournalJournal of Quality Technology
Volume46
DOIs
StatePublished - Jan 1 2014

Keywords

  • Assignable cause
  • Best practices
  • Change point
  • Common causes
  • Control charts
  • Data analysis
  • Data collection
  • Multiple assignable causes
  • Process improvement
  • Statistical process control (SPC)

DC Disciplines

  • Education
  • Mathematics

Fingerprint

Dive into the research topics of 'An Overview of Phase I Analysis for Process Improvement and Monitoring'. Together they form a unique fingerprint.

Cite this