JSM 2005 Online Program

Abstract #304618

This is the preliminary program for the 2005 Joint Statistical Meetings in Minneapolis, Minnesota. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 7-10, 2005); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

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Activity Number:	234
Type:	Contributed
Date/Time:	Tuesday, August 9, 2005 : 8:30 AM to 10:20 AM
Sponsor:	Section on Quality and Productivity
Abstract - #304618
Title:	Statistical Process Control Using Multivariate Exponentially Weighted Moving Average and MATLAB®-to-Excel® Software Interface
Author(s):	Jerry Lewis*+ and Alagappan Annamalai
Companies:	Wyeth and Wyeth
Address:	1 Burtt Rd, Andover, MA, 01810, United States
Keywords:	MPC ; MEWMA ; Hotelling T² ; software ; Multivariate
Abstract:	Statistical process control using multivariate statistics takes advantage of the covariance structure among the monitored variables that allows monitoring multiple variables on one chart. Hotelling's T² monitors a vector of parameter values. It will signal an unusual vector (i.e., unusual combination of values for different parameters). Such a combination may go unsignaled in a traditional univariate monitoring using Shewhart chart. Analogues to Exponentially Weighted Moving Average (EWMA), Multivariate EWMA (MEWMA) was proposed by C.A. Lowry et al. to detect small shifts in manufacturing processes. We developed the computational engine and a COM object with MATLAB Builder for Excel to perform statistical process monitoring using Hotelling's T² and MEWMA. We also provided user interface with Excel. The familiar Excel-based user interface led to the acceptance of multivariate SPC among process engineers.

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