James T. Luxhøj

Professor, Undergraduate Director

Industrial and Systems Engineering

Office:CORE Building, Room 210

Dr. James T. Luxhøj received his B.S., M.S., and Ph.D. in Industrial Engineering and Operations Research from Virginia Polytechnic Institute and State University.  He was a Visiting Professor in the Aerospace Department at Virginia Tech in Spring 2015 and a Visiting Professor in the Department of Production at Aalborg University in Denmark during 1994-95 and in Fall 2001. His teaching and research interests are in the areas of risk and decision analysis, engineering economics, logistics engineering and supply chain management. Internationally recognized, his research interests in aviation safety and risk analysis have been funded by the Federal Aviation Administration (FAA), the National Aeronautics and Space Administration (NASA), and Office of Naval Research (ONR).  Leading a research team of professors, graduate and undergraduate students, a  NASA-sponsored project involved the use of probabilistic risk analysis techniques, such as Bayesian Belief Networks (BBNs), to model the interactions of risk factors contributing to aircraft accidents and incidents. These techniques, used by NASA’s Aviation Safety Program (AvSP), facilitated risk assessments of a portfolio of new technologies and aeronautical products aimed at reducing the likelihood and severity of certain categories of accidents. Dr. Luxhøj also led a project with the FAA to develop a new systems level hazard taxonomy for unmanned aircraft. A recipient of 2012 and 2013 Office of Naval Research (ONR) Distinguished Summer Faculty Fellowships, a 1987 NASA/ASEE Summer Faculty Fellowship and a 1989 SAE Ralph R. Teetor Award for Engineering Education Excellence, Dr. Luxhøj is a member of Alpha Pi Mu and Tau Beta Pi. He is a six-time recipient of the Rutgers Engineering Governing Council’s Excellence in Teaching Awards and the 1991 Sigma Chi Outstanding Professor for Rutgers University.  Dr. Luxhøj is a co-author of Engineering Economy, 12th and 13th editions published by Prentice Hall.  He previously served as department editor for IIE Transactions on Operations Engineering.  Dr. Luxhøj resides in Somerset, New Jersey with his wife Catherine.



Ph.D., 1986, Virginia Tech


  • Institute of Industrial Engineers, Fellow
  • Office of Naval Research (ONR) Distinguished Summer Faculty Fellow (2012, 2013)
  • Rutgers Engineering Governing Council (EGC) Excellence in Teaching Awards

Professional Affiliations

  • Institute of Industrial Engineers, Faculty Advisor
  • Member, Scientific Committee, Center for Logistics, Aalborg University, Denmark
  • Area Editor, Case Studies, The Engineering Economist (January 2013 – present)

Research Interests

Aviation system safety/risk analysis; engineering economy; supply chain engineering.

Selected Publications

  1. Luxhøj, James T. and Matthew B. Harrell, “An Object-Oriented Bayesian Network (OOBN) Prototype for Modeling the Safety Risk of an Unmanned Rotorcraft,” Industrial and Systems Engineering Research Conference, Renaissance Nashville Hotel, Nashville, TN, May 30-June 2, 2015.
  2. Luxhøj, James T., “An Object-Oriented Bayesian Network (OOBN) for Modeling Aircraft Carrier-based UAS Safety Risk,” Journal of Risk Research, DOI: 10.1080/13669877.2014.913664 (2014).
  3. Sharma, Varun, David W. Coit, Ahmet Oztekin and James T. Luxhøj, “A Decision Analytic Approach for Technology Portfolio Prioritization: Aviation Safety Applications,” Journal of Risk Research, Vol. 12, No. 6 (2009), pp. 843-864.
  4. Deniz, Erhan and James T. Luxhøj, “Supply Chain Risk Management via Correlated Scenario Analysis,” International Journal of Integrated Supply Management, Vol. 4, No. 3/4 (2008), pp. 278-302.
  5. Andres, Denise M., James T. Luxhøj, and David W. Coit, “A Bayesian Approach to Severity Assessment in Risk Modeling: An Aviation Safety Application,” Human Factors and Aerospace Safety, Vol. 6, No. 2 (2007), pp. 103-133.
  6. Bareither, Chad and James T. Luxhøj, “Uncertainty and Sensitivity Analysis in Bayesian Belief Networks: Applications to Aviation Safety Risk Assessment,” International Journal of Industrial and Systems Engineering, Vol. 2, No. 2 (2007), pp. 137-158.