Jim Wilson

Professor Emeritus

James Wilson has been a member of the Industrial and Systems Engineering faculty at North Carolina State University since 1991. He served as head of the department from 1999 to 2007.


Research Interests

Jim Wilson’s research interests include probabilistic and statistical issues in the design and analysis of large-scale simulation experiments, including: modeling, estimation, and generation of stochastic input processes; analysis of output processes; improving simulation efficiency using variance reduction techniques; optimization using multiple-comparison and search procedures; and applying all these techniques to the analysis of production systems.



Ph.D.Doctor of PhilosophyPurdue University1979
MSMaster of SciencePurdue University1977
BABachelor of ArtsRice University1970


Honors and Awards

  • 2022 | Top North American Researcher in Industrial and Manufacturing Engineering, ADScientific Index
  • 2013 | David F. Baker Distinguished Research Award, Institute of Industrial Engineers
  • 2011 | Distinguished Contributions Award, Association for Computing Machinery Special Interest Group on Simulation
  • 2011 | IIE Transactions Best Paper Award in Operations Engineering and Analysis, Institute of Industrial Engineers
  • 2009 | Faculty Award, NC State University Libraries
  • 1995 | C. A. Anderson Outstanding Faculty Award, ISE Department at NC State University
  • Fellow, Institute of Industrial Engineers
  • Fellow, Institute for Operations Research and the Management Sciences


Discover more about Jim Wilson



Lei, L., Alexopoulos, C., Peng, Y., & Wilson, J. R. (2020), 2020 WINTER SIMULATION CONFERENCE (WSC). https://doi.org/10.1109/WSC48552.2020.9383910
Improving chemotherapy infusion operations through the simulation of scheduling heuristics: a case study
Slocum, R. F., Jones, H. L., Fletcher, M. T., McConnell, B. M., Hodgson, T. J., Taheri, J., & Wilson, J. R. (2020), Health Systems, 2, 1–16. https://doi.org/10.1080/20476965.2019.1709908
Alexopoulos, C., Boone, J. H., Goldsman, D., Lobos, A., Dingec, K. D., & Wilson, J. R. (2020), 2020 WINTER SIMULATION CONFERENCE (WSC). https://doi.org/10.1109/WSC48552.2020.9384130
Modeling and Simulation of Nonstationary Non-Poisson Arrival Processes
Liu, R., Kuhl, M. E., Liu, Y., & Wilson, J. R. (2019), INFORMS JOURNAL ON COMPUTING, 31(2), 347–366. https://doi.org/10.1287/ijoc.2018.0828
Probabilistic sensitivity analysis on Markov models with uncertain transition probabilities: an application in evaluating treatment decisions for type 2 diabetes
Zhang, Y., Wu, H., Denton, B. T., Wilson, J. R., & Lobo, J. M. (2019), Health Care Management Science, 22(1), 34–52. https://doi.org/10.1007/S10729-017-9420-8
Sequest: A Sequential Procedure for Estimating Quantiles in Steady-State Simulations
Alexopoulos, C., Goldsman, D., Mokashi, A. C., Tien, K.-W., & Wilson, J. R. (2019), OPERATIONS RESEARCH, 67(4), 1162–1183. https://doi.org/10.1287/opre.2018:1829
Simulation model of the relationship between cesarean section rates and labor duration
Hicklin, K. T., Ivy, J. S., Wilson, J. R., Cobb Payton, F., Viswanathan, M., & Myers, E. R. (2019), Health Care Management Science, 22(4), 635–657. https://doi.org/10.1007/s10729-018-9449-3
Simulation-based Evaluation On Integrating Additive Manufacturing Capability In A Deployed Military Environment
Moore, T. A., McConnell, B. M., & Wilson, J. R. (2018), Proceedings of the 2018 Winter Simulation Conference, 3721–3729. https://doi.org/10.1109/wsc.2018.8632474
A stochastic model of acute-care decisions based on patient and provider heterogeneity
Capan, M., Ivy, J. S., Wilson, J. R., & Huddleston, J. M. (2017), Health Care Management Science, 20(2), 187–206. https://doi.org/10.1007/s10729-015-9347-x
Automated estimation of extreme steady-state quantiles via the maximum transformation
Alexopoulos, C., Goldsman, D., Mokashi, A. C., & Wilson, J. R. (2017), ACM Transactions on Modeling and Computer Simulation, 27(4). https://doi.org/10.1145/3122864

View all publications via NC State Libraries

Jim Wilson