Thomas A. Mazzuchi
Chair, Department of Engineering Management and Systems Engineering.
Professor Mazzuchi is a Research Associate at the Institute for
Reliability and Risk Analysis, and has been engaged in consulting and
research in the area of reliability, risk analysis, and quality control for
over ten years. Recently, he served for two and a half years as a research
mathematician at the international operations and process research laboratory
of the Royal Dutch Shell Company. While at Shell, Dr. Mazzuchi was involved
with reliability and safety analysis of large processing systems, maintenance
optimization of off-shore platforms and quality control procedures at large
scale chemical plants. He has held research contracts in development of
testing procedures for both the U.S. Air Force and the U.S. Army and also
with the U.S. Postal Service on spares provisioning modeling and with various
other organizations on topics of maritime safety and risk assessment. Dr.
Mazzuchi's research interests are in Bayesian applications in reliability,
risk analysis, and quality control problems. Current research interests
include reliability growth assessment, software reliability modeling, design
and inference in life testing, reliability estimation as a function of
operating environment, maintenance inspection policies, and incorporation of
expert judgment into reliability and risk analysis.
Specialty areas: reliability analysis, quality control, decision
and risk analysis, applied statistics, Bayesian inference.
1998 -"Bayesian computations for reliability growth modeling", (with A. Erkanli and R. Soyer), accepted for publication, Technometrics.
1997 -"Sequential inference and decision making for single mission systems development", (with R. van Dorp and R. Soyer), Journal of Statistical Planning and Inference, 62: 207-218.
1997 -"System simulation: a risk management tool for the Prince William Sound", (with J. van Dorp, J. Harrold, J. Merrick, and J. Spahn), Proceedings of the 1997 International Oil Spill Conference, American Petroleum Institute, 545-550.
1997 -"Bayesian Inference for the Weibull acceleration model", (with R. Soyer and A. Vopatek), Lifetime Data Analysis, 3: 1-13.
1996 -"A Bayes approach to step-stress accelerated life
testing", (with R. van Dorp, G. Fornell, and L. Pollock), IEEE
Transactions on Reliability., 45: 491-498
1996 -"An alternative method for analyzing multi-stress multi-level life and accelerated life tests", (with D. Dietrich), Proceedings of the 1996 Annual Reliability and Maintainability Symposium, IEEE Society, 90-96.
1996 -"Adaptive Bayesian Replacement Strategies", (with R. Soyer), Proceedings of the Fifth Valencia International Meeting on Bayesian Statistics, (J. M. Bernardo, J. O. Berger, A. P. Dawid, and A. F. M. Smith, eds), Elsevier, 667-674.
1993 -"A Bayes methodology for assessing product reliability during development testing," (with R.Soyer), IEEE Transactions on Rel. 42: 503-510.
1992 -"A dynamic general linear model for inference from accelerated lifetesting," (with R. Soyer), Naval Research Logistics Quarterly, 39: 757-773.
1992 -"Expert judgment in maintenance optimization," (with J. van Noortwijk, R. Dekker, and R. Cooke), IEEE Transactions on Reliability, 41: 427-432.
1990 -"A novel flexibility analysis approach for processes with
stochastic parameters," (with
1990 -"Reliability Engineering," (with R. Soyer), The
Automated Manufacturing Handbook: Technology and Management, (D. Cleland
and B. Bidanda, eds.), TAB Professional and Reference Books,
1986 -"Software reliability models," (with N. D.
Singpurwalla) Handbook of Statistics 7, Quality Control and Reliability,
(C.R. Rao, ed.), North Holland Publishing Co.,
Advisor for MS in Industrial and Engineering Statistics.
Institute for Reliability and Risk Analysis