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Activity Number: 359
Type: Contributed
Date/Time: Wednesday, August 6, 2008 : 8:30 AM to 10:20 AM
Sponsor: Section on Quality and Productivity
Abstract - #300754
Title: Sequential Design for Analyses Involving Several Types of Data
Author(s): Christine Anderson-Cook*+ and Todd Graves and Michael Hamada
Companies: Los Alamos National Laboratory and Los Alamos National Laboratory and Los Alamos National Laboratory
Address: , , NM, 87544,
Keywords: Resource Allocation ; Reliability ; Optimal Design
Abstract:

In analyzing the reliability of complex systems, several types of data from full-system tests to component level test are commonly used. After a preliminary analysis, additional resources may be available and we wish to identify the best new data to collect to maximally improve the prediction of system reliability. In this talk we present a simple example of a series system with multiple data sources, and show how to implement an optimization strategy to determine the best experimental design for subsequent data. Issues discussed including a metric for assessing improvement, discrepancies between data sources, incorporating cost into a comparison of different data types and implementation of an automated search for the optimal solution.

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Revised September, 2008