ASQ Reliability & Risk Division Best Reliability Paper Award

Share This Post

We are pleased to announce the paper entitled “Comparing methods for assessing reliability uncertainty based on pass/fail data collected over time”, authored by Jeff I. Abes, Michael S. Hamada, and Charles R. Hills, published on Quality Engineering, 30:694–700, 2018, has won the 2018-2019 ASQ RRD Best Reliability Paper Award.

One of the ASQ Reliability & Risk Division’s missions is to encourage the publication of reliability papers that are both technically sound and easy to be understood by reliability professionals. In this paper, the authors compare three statistical methods – logistic regression, Weibull failure time analysis and the RADAR method proposed by Vander Wiel et al. – for analyzing pass/fail data collected over time and use them to assess reliability of weapon systems. It is shown that these three methods may provide quite different uncertainty bounds on reliability.

Quality Engineering is a technical journal of ASQ published by Taylor & Francis. It is directed to professionals in all engineering and management fields interested in quality improvement and reliability. For additional information of ASQ RRD Best Reliability Paper Award, please contact Dr. Rong Pan at rong.pan@asu.edu.

More To Explore

General

2023 ASQ PEP Award:  Bronze award recognition

We are pleased to announce that the Reliability and Risk Division has received the Bronze award recognition for 2023. As you know, the PEP award program was created to recognize Member Units for excellent performance that reinforces ASQ’s thought leadership position and expands ASQ offerings to members and customers.   Measures included in the 2023 award program

General

WCQI 2024 – ASQ Shainin Medal: Daniel C. Conrad

This May in San Diego, CA at the ASQ’s World Conference on Quality & Improvement (WCQI)   Daniel C. Conrad received the Shainin Medal.   The Shainin Medal recognizes innovation. It is awarded for the development of unique creative approaches applied to the improvement of quality or reliability. Criteria for nomination and selection will be based

Scroll to Top