Abstract #300546

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JSM 2003 Abstract #300546
Activity Number: 98
Type: Contributed
Date/Time: Monday, August 4, 2003 : 9:00 AM to 10:50 AM
Sponsor: Section on Quality & Productivity
Abstract - #300546
Title: Multivariate Control Procedures and Process Variation
Author(s): John C. Young*+ and Robert L. Mason and Youn-Min Chou
Companies: McNeese State University and Southwest Research Institute and University of Texas, San Antonio
Address: 1750 Bilbo St., Lake Charles, LA, 70601-6061,
Keywords: multivariate SPC ; stationary variation ; nonstationary variation
Abstract:

Examined in this paper are the effects of process variation on three popular multivariate statistical process control procedures. The methods include the multivariate exponential weighted moving average (MEWMA), the multivariate cumulative sum (MCUSUM), and Hotelling's T Square. The impact of two broad categories of process variation, including both stationary and nonstationary variation, is discussed. Of particular interest is the effect of uncontrolled components of variation as these impose on the process such data characteristics as ramp changes, mean shifts, variable drift, and autocorrelation. Comparisons of the performance of the above three multivariate procedures in the presence of these varying types of variation are presented. A key finding is that the type of process variation can have a significant influence on the performance of the (multivariate) control procedure.

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