An Overview of Phase I Analysis for Process Improvement and Monitoring

TLDR

The article provides an overview and perspective on Phase I data collection and analysis for process improvement and control charting. Phase I involves assessing process variability and stability, exploring improvement ideas, selecting an appropriate in‑control model, and estimating its parameters. The authors identify current best practices and highlight opportunities for future research in Phase I analysis.

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.