An Overview of Phase I Analysis for Process Improvement and Monitoring

被引:179
作者
Jones-Farmer, L. Allison [1 ]
Woodall, William H. [2 ]
Steiner, Stefan H. [3 ]
Champ, Charles W. [4 ]
机构
[1] Miami Univ, Farmer Sch Business, Oxford, OH 45056 USA
[2] Virginia Tech, Dept Stat, Blacksburg, VA 24061 USA
[3] Univ Waterloo, Dept Stat & Actuarial Sci, Waterloo, ON N2K 3G1, Canada
[4] Georgia So Univ, Dept Math Sci, Statesboro, GA 30460 USA
关键词
Assignable Cause; Change Point; Common Cause Variation; Control Chart; Self-Starting Chart; SPC; Statistical Process Control; STATISTICAL PROCESS-CONTROL; MULTIVARIATE CONTROL CHARTS; STARTING CONTROL CHART; (X)OVER-BAR CONTROL CHART; CHANGE-POINT; INDIVIDUAL OBSERVATIONS; STANDARD-DEVIATION; QUALITY PROFILES; ESTIMATORS; LOCATION;
D O I
10.1080/00224065.2014.11917969
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
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.
引用
收藏
页码:265 / 280
页数:16
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