EMSE Engineering Management and Systems Engineering

Dr. Thomas A. Mazzuchi
Professor of Operations Research and of Engineering Management

Faculty ProfileExpertiseJournal & OtherTeaching Interests

Interests:

Expert Judgment

 

 

 

 

 

 

 

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Expert Judgment:

  1. C. Merrit, T. A. Mazzuchi and S. Sarkani. “Use of probabilistic inversion to model qualitative expert input when selecting a nuclear reactor technology.” Engineering Management, 2010.
  2. T.A. Mazzuchi, B. Linzey and A. Brunin. “A paired comparison experiment for gathering expert judgment for an aircraft wiring risk assessment.” Reliability Engineering and System Safety, Vol. 93, 2008, pp. 722–731.
  3. P. Szwed, J. R. van Dorp, J.R.W. Merrick, T.A. Mazzuchi, and A. Singh. “A Bayesian paired comparison approach for relative accident probability assessment with covariate information.“ European Journal of Operational Research, Vol. 169, Issue 1, 2006, pp. 157-177.
  4. J. R. van Dorp and T. A. Mazzuchi. “Parameter specification of the beta distribution and its Dirichlet extensions utilizing quantiles.” Handbook of Beta Distributions and its Applications,(A. K. Gupta and S. Nadarajah, eds.), Marcel Dekker, 2003, pp 283-318.
  5. J. R. W. Merrick, J. R. van Dorp, T. A. Mazzuchi, J. R. Harrald, J. E. Spahn, and M. Grabowski "The Prince William Sound risk assessment." Interfaces, Vol. 32, No. 6, 2002, pp. 25-40.
  6. J. R. van Dorp, J. R. W. Merrick, J. R. Harrald, T. A. Mazzuchi, and M. Grabowski. “A risk management procedure for the Washington State Ferries." Risk Analysis, Vol. 21, Issue 1, 2001, pp. 127-142.
  7. J. R. Harrald, T. A. Mazzuchi, J. E. Spahn, J. R. Van Dorp, J. R. W. Merrick, S. Shrestha, and M. Grabowski. “Using systems simulation to model the impact of human error in a maritime system." Safety Science, Vol. 30, Issue 1-2, 1998, pp. 235-247.
  8. T. A. Mazzuchi and R. Soyer.“Bayesian reliability modeling and inference under ordering restrictions." Frontiers in Reliability, Vol. 4 in the Series in Quality, Reliability, and Engineering Statistics (A. P. Basu, S. K. Basu, and S. Mukhopadhyay, eds.), Word Scientific, London, 1998, pp. 217-230.
  9. J. R. Harrald and T. A. Mazzuchi. “Planning for success: A scenario-based approach to contingency planning using expert judgment." Journal of Contingencies and Crisis Management, Vol. 1, Issue 4, 1993, pp. 189-198. 
  10. J. M. van Noortwijk, R. A. Dekker, and R. M. Cooke and T. A. Mazzuchi. “Expert judgment in maintenance optimization." IEEE Transactions on Reliability, Vol. 41, Issue 3, 1992, pp. 427-432.
  11. T. A. Mazzuchi and N. D. Singpurwalla. “Inference from accelerated life tests-some recent results", in Accelerated Life Testing and Experts' Opinions in Reliability, (D. V. Lindley and A. Clarotti, eds.), North Holland Publishing Co., Amsterdam, 1988, pp. 181-192.

SEAS 125 Years
Engineering Management and Systems Engineering
School of Engineering and Applied Science
The George Washington University
1776 G Street NW, Suite 101
Washington, DC 20052
Email:  mazzu@gwu.edu
Phone: (202) 994-7541