Jen Tang
· ProfessorPurdue University · Quantitative Methods
Active 1987–2024
Academic metrics are sourced from OpenAlex and public funding records; values may differ from Google Scholar.
Research topics
- Artificial Intelligence
- Data Mining
- Computer Science
- Statistics
- Algorithm
- Mathematics
Selected publications
Determination of burn‐in parameters and residual life for highly reliable products
Naval Research Logistics (NRL) · 2002-12-20 · 158 citations
articleAbstract Today, many products are designed and manufactured to function for a long period of time before they fail. Determining product reliability is a great challenge to manufacturers of highly reliable products with only a relatively short period of time available for internal life testing. In particular, it may be difficult to determine optimal burn‐in parameters and characterize the residual life distribution. A promising alternative is to use data on a quality characteristic (QC) whose deg…
Naval Research Logistics (NRL) · 2008-02-22 · 70 citations
articleOpen access1st authorCorrespondingAbstract Instead of measuring a Wiener degradation or performance process at predetermined time points to track degradation or performance of a product for estimating its lifetime, we propose to obtain the first‐passage times of the process over certain nonfailure thresholds. Based on only these intermediate data, we obtain the uniformly minimum variance unbiased estimator and uniformly most accurate confidence interval for the mean lifetime. For estimating the lifetime distribution function, we…
Naval Research Logistics (NRL) · 2012-12-20 · 26 citations
articleSenior authorAbstract Accelerated life testing (ALT) is commonly used to obtain reliability information about a product in a timely manner. Several stress loading designs have been proposed and recent research interests have emerged concerning the development of equivalent ALT plans. Step‐stress ALT (SSALT) is one of the most commonly used stress loadings because it usually shortens the test duration and reduces the number of required test units. This article considers two fundamental questions when designin…
Minimum cost allocation of quality improvement targets under supplier process disruption
European Journal of Operational Research · 2013-02-09 · 24 citations
articleSenior authorExact bayesian estimation of system reliability from component test data
Naval Research Logistics (NRL) · 1997-02-01 · 24 citations
article1st authorCorrespondingSystem reliability is often estimated by the use of components' reliability test results when system test data are not available, or are very scarce. A method is proposed for computing the exact posterior probability density function, cumulative distribution function, and credible intervals for system reliability in a Bayesian setting, with the use of components' prior probability distributions and current test results. The method can be applied to series, parallel, and many mixed systems. Altho…
Frequent coauthors
- 12 shared
Robert Plante
Purdue University West Lafayette
- 12 shared
Herbert Moskowitz
Purdue University West Lafayette
- 12 shared
Kwei Tang
National Chengchi University
- 4 shared
Weijia Wang
Emory University
- 3 shared
Sheng‐Tsaing Tseng
National Tsing Hua University
- 2 shared
Regina Y. Liu
Rutgers, The State University of New Jersey
- 2 shared
Peter Sing-Lai Lam
PAREXEL International (United States)
- 2 shared
Suresh Chand
Purdue University West Lafayette
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