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 language | American English |
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Journal | Journal of Quality Technology |
Volume | 46 |
DOIs | |
State | Published - 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