Tutorial 2
4:00 to 5:30 p.m. Thursday April 12, 2007

Reliability Growth Management and Data Analysis

In order to attain reliability objectives, early system prototypes are often subjective to reliability growth testing. This testing may be specifically dedicated to reliability or the testing may be integrated into existing engineering development tests. When failure modes are uncovered during the testing they are either corrected or not corrected in accordance with the reliability growth management strategy. For a particular program the management strategy is a key factor in whether or not the desired reliability is attained.

To properly manage the reliability growth process the reliability currently achieved and the projected reliability impact of proposed future corrective actions must be appropriately measured for a particular management strategy. If the projected reliability is not on track to meet the desired goal then the management strategy can be changed.

This tutorial will present a structure for assessing the management strategy together with proven models and methods for evaluating the reliability growth based on test data and other engineering input.

This tutorial addresses modern principles of reliability growth management and analysis, including techniques and models to analyze data from time-based tests where corrective actions may be implemented during the test, after the test, or a combination of both, and from various one-shot success/failure tests. The models and methods presented in this tutorial are designed for real world applications and are useful to reliability engineering and program management.  

Key Words: Reliability Growth Analysis, Developmental Testing, Crow AMSAA Model

 

Larry H. Crow Crow Reliability Resources, Inc.