International Applied Reliability Symposium (ARS): An international reliability and maintainability conference event

Track 1 Session 3
1:00 to 2:00 p.m. Thursday October 25, 2007

Applying Design of Experiments (DOE) Methods to Improve and Estimate Product Reliability

The Design of Experiments methodology is widely used to improve product quality. In this presentation, a systematic procedure of using DOE methods to improve product reliability is proposed. By using DOE, the important design factors that affect product reliability can be identified. According to the test results, these important design factors are set to their optimum levels to achieve higher reliability.

In the DOE stage, not only the important design factors but also the important stress factors that affect the product reliability (such as temperature, voltage or humidity) also can be identified. These important stress factors will be used in accelerated life tests. Once the design is fixed by adjusting the design factors, accelerated life testing can be used to estimate the product reliability in the field.

In this presentation, we will show how to use fractional factor design to identify important design and stress factors. We also will present how to use accelerated life testing to predict field reliability.

 


 
Harry Guo and Hongan Lin
ReliaSoft Corporation and ReliaSoft Asia
Tucson, Arizona and Singapore

ReliaSoft Corporation

Dr. Huairui Guo is the Director of Theoretical Development at ReliaSoft Corporation. He received his Ph.D (2004) in Systems and Industrial Engineering from the University of Arizona. He also received his B.S (1997) in Mechanical Engineering from the Xi’an Jiaotong University, M.E. (2000) in Mechanical Engineering from the Huazhong University of Science and Technology in China, M.E. in Manufacturing (2002) from the National University of Singapore and M.S. (2004) in Reliability and Quality Engineering from the University of Arizona. He has published papers in the areas of Quality Engineering including SPC, ANOVA and DOE and Reliability Engineering. His current research interests include Repairable System Modeling, Accelerated Life/Degradation Testing, Warranty Data Analysis and Robust Design. Recently, Dr. Guo received the Best Paper Award of Quality Control and Reliability at the Industrial Engineering Conference in Nashville, Tennessee, May 19 - 23, 2007.