JSM 2005 Online Program

Abstract #303921

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:	29
Type:	Contributed
Date/Time:	Sunday, August 7, 2005 : 2:00 PM to 3:50 PM
Sponsor:	Section on Quality and Productivity
Abstract - #303921
Title:	A Destructive Sampling Method Designed for High-quality Production Processes (DSM-HQ)
Author(s):	Ronald Bremer*+ and Francisco Delgadillo
Companies:	Texas Tech University and Texas Tech University
Address:	Rawls College of Business, Lubbock, TX, 79409-2101, United States
Keywords:	Quality Monitoring ; Destructive Sampling ; High Quality ; cost function ; Bayesian
Abstract:	Traditional sampling methods require a high number of units tested in order to guarantee a high level of quality. Therefore, these methods are not well suited to monitor quality in cases where tests are destructive and quality is high. A sampling method is developed to monitor quality in high-quality and destructive testing situations. DSM-HQ (Destructive Sampling Method designed for High-Quality Production Processes) is based on a cost function, which balances the costs of sampling versus the costs of finding a defect on the field. DSM-HQ assumes to have a Poisson process defect pattern and uses and empirical Bayesian analysis to allow the researcher to include prior knowledge.

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