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.

Education

Ph.D. 1979

Purdue University

MS 1977

Master of Science

Purdue University

BA 1970

Bachelor of Arts

Rice University

Research Description

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.

Honors and Awards

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

Publications

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).
Creation of the computer simulation archive
Sargent, R. G., & Wilson, J. R. (2017), In 2017 winter simulation conference (wsc) (pp. 324–329).
History of the Winter Simulation Conference: Overview and notable facts and figures
Goldsman, D., Costa, M. D., Goldsman, P., & Wilson, J. R. (2017), In 2017 winter simulation conference (wsc) (pp. 16–39).
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.
Implementing discrete event simulation to improve optometry clinic operations
Seminelli, M. D., Wilson, J. W., & McConnell, B. M. (2016), In 2016 winter simulation conference (wsc) (pp. 2157–2168).
Modeling for the equitable and effective distribution of donated food under capacity constraints
Orgut, I. S., Ivy, J., Uzsoy, R., & Wilson, J. R. (2016), IIE Transactions, 48(3), 252–266.
Multifractal detrended fluctuation analysis: Practical applications to financial time series
Thompson, J. R., & Wilson, J. R. (2016), Mathematics and Computers in Simulation, 126, 63–88.
SPSTS: A sequential procedure for estimating the steady-state mean using standardized time series
Alexopoulos, C., Goldsman, D., Tang, P., & Wilson, J. R. (2016), IIE Transactions, 48(9), 864–880.
Agent-based simulations of financial markets: zero- and positive-intelligence models
Thompson, J. R., & Wilson, J. R. (2015), Simulation, 91(6), 527–552.
Combined DES/SD model of breast cancer screening for older women, I: Natural-history simulation
Tejada, J. J., Ivy, J. S., Wilson, J. R., Ballan, M. J., Diehl, K. M., & Yankaskas, B. C. (2015), IIE Transactions, 47(6), 600–619.
Monitoring nonlinear profiles adaptively with a wavelet-based distribution-free CUSUM chart
Wang, H. Z., Kim, S. H., Huo, X. M., Hur, Y., & Wilson, J. R. (2015), International Journal of Production Research, 53(15), 4648–4667.
Combined DES/SD model of breast cancer screening for older women, II: screening-and-treatment simulation
Tejada, J. J., Ivy, J. S., King, R. E., Wilson, J. R., Ballan, M. J., Kay, M. G., … Yankaskas, B. C. (2014), IIE Transactions, 46(7), 707–727.
Competing risks analysis in mortality estimation for breast cancer patients from independent risk groups
Zhang, S. F., Ivy, J. S., Wilson, J. R., Diehl, K., & Yankaskas, B. C. (2014), Health Care Management Science, 17(3), 259–269.
An effective lower bound on L-max in a worker-constrained job shop
Lobo, B. J., Hodgson, T. J., King, R. E., Thoney, K. A., & Wilson, J. R. (2013), Computers & Operations Research, 40(1), 328–343.
Monitoring nonlinear profiles using a wavelet-based distribution-free CUSUM chart
Lee, J., Hur, Y., Kim, S. H., & Wilson, J. R. (2012), International Journal of Production Research, 50(22), 6574–6594.
N-Skart: A nonsequential skewness- and autoregression-adjusted batch-means procedure for simulation analysis
Tafazzoli, A., Steiger, N. M., & Wilson, J. R. (2011), IEEE Transactions on Automatic Control, 56(2), 254–264.
Note on 'Influences of Resource Limitations and Transmission Costs on Epidemic Simulations and Critical Thresholds in Scale-Free Networks'
Wilson, J. R. (2011). Note on ’Influences of Resource Limitations and Transmission Costs on Epidemic Simulations and Critical Thresholds in Scale-Free Networks’. Simulation, 87(3), 262–266,
Performance of Skart: A Skewness- and Autoregression-Adjusted Batch Means Procedure for Simulation Analysis
Tafazzoli, A., Wilson, J. R., Lada, E. K., & Steiger, N. M. (2011), INFORMS Journal on Computing, 23(2), 297–314.
Skart: A skewness- and autoregression-adjusted batch-means procedure for simulation analysis
Tafazzoli, A., & Wilson, J. R. (2011), IIE Transactions, 43(2), 110–128.
Performance comparison of mser-5 and n-skart on the simulation start-up problem
Mokashi, A. C., Tejada, J. J., Yousefi, S., Xu, T. X., Wilson, J. R., Tafazzoli, A., & Steiger, N. M. (2010), In Proceedings of the 2010 winter simulation conference (pp. 971–982).
Monitoring autocorrelated processes using a distribution-free tabular CUSUM chart with automated variance estimation
Lee, J., Alexopoulos, C., Goldsman, D., Kim, S. H., Tsui, K. L., & Wilson, J. R. (2009), IIE Transactions, 41(11), 979–994. https://doi.org/10.1080/07408170902906035
Area variance estimators for simulation using folded standardized time series
Antonini, C., Alexopoulos, C., Goldsman, D., & Wilson, J. R. (2008), IIE Transactions, 41(2), 134–144. https://doi.org/10.1080/07408170802331268
Modeling patient arrivals in community clinics
Alexopoulos, C., Goldsman, D., Fontanesi, J., Kopald, D., & Wilson, J. R. (2008), Omega, 36(1), 33–43. https://doi.org/10.1016/j.omega.2005.07.013
SKART: a skewness- and autoregression-adjusted batch-means procedure for simulation analysis
Tafazzoli, A., Wilson, J. R., Lada, E. K., & Steiger, N. M. (2008), (pp. 387–395).
Editor's introduction: Special issue honoring Perwez Shahabuddin
Wilson, J. R. (2007). Editor’s introduction: Special issue honoring Perwez Shahabuddin. ACM Transactions on Modeling and Computer Simulation, 17(2),
Efficient computation of overlapping variance estimators for simulation
Alexopoulos, C., Argon, N. T., Goldsman, D., Steiger, N. M., Tokol, G., & Wilson, J. R. (2007), INFORMS Journal on Computing, 19(3), 314–327. https://doi.org/10.1287/ijoc.1060.0198
Linear combinations of overlapping variance estimators for simulation
Aktaran-Kalayci, T., Goldsman, D., & Wilson, J. R. (2007), Operations Research Letters, 35(4), 439–447. https://doi.org/10.1016/j.orl.2006.08.007
Overlapping variance estimators for simulation
Alexopoulos, C., Argon, N. T., Goldsman, D., Tokol, G., & Wilson, J. R. (2007), Operations Research, 55(6), 1090–1103. https://doi.org/10.1287/opre.1070.0475
Performance of a wavelet-based spectral procedure for steady-state simulation analysis
Lada, E. K., Wilson, J. R., Steiger, N. M., & Joines, J. A. (2007), INFORMS Journal on Computing, 19(2), 150–160. https://doi.org/10.1287/ijoc.1050.0161
A distribution-free tabular CUSUM chart for autocorrelated data
Kim, S. H., Alexopoulos, C., Tsui, K. L., & Wilson, J. R. (2007), IIE Transactions, 39(3), 317–330. https://doi.org/10.1080/07408170600743946
Performance evaluation of recent procedures for steady-state simulation analysis
Lada, E. K., Steiger, N. M., & Wilson, J. R. (2006), IIE Transactions, 38(9), 711–727. https://doi.org/10.1080/07408170600735520
A wavelet-based spectral procedure for steady-state simulation analysis
Lada, E. K., & Wilson, J. R. (2006), European Journal of Operational Research, 174(3), 1769–1801. https://doi.org/10.1016/j.ejor.2005.04.025
An automated multiresolution procedure for modeling complex arrival processes
Kuhl, M. E., Sumant, S. G., & Wilson, J. R. (2006), INFORMS Journal on Computing, 18(1), 3–18. https://doi.org/10.1287/ijoc.1040.0113
Accounting for input-model and input-parameter uncertainties in simulation
Zouaoui, F., & Wilson, J. R. (2004), IIE Transactions, 36(11), 1135–1151. https://doi.org/10.1080/07408170490500708
Accounting for parameter uncertainty in simulation input modeling
Zouaoui, F., & Wilson, J. R. (2003), IIE Transactions, 35(9), 781–792. https://doi.org/10.1080/0740817039QN548
Analyzing transformation-based simulation metamodels
Irizarry, M. D. A., Kuhl, M. E., Lada, E. K., Subramanian, S., & Wilson, J. R. (2003), IIE Transactions, 35(3), 271–283. https://doi.org/10.1080/07408170390175495
Recent results from the national spherical torus experiment
Maingi, R., Bell, M. G., Bell, R. E., Bialek, J., Bourdelle, C., Bush, C. E., … al. (2003), Plasma Physics and Controlled Fusion, 45(5), 657–669. https://doi.org/10.1088/0741-3335/45/5/310
Responsible authorship and peer review
Wilson, J. R. (2002), Science and Engineering Ethics, 8(2), 155–174. https://doi.org/10.1007/s11948-002-0016-3
A wavelet-based procedure for process fault detection
Lada, E. K., Lu, J. C., & Wilson, J. R. (2002), IEEE Transactions on Semiconductor Manufacturing, 15(1), 79–90. https://doi.org/10.1109/66.983447
An efficient and flexible mechanism for constructing membership functions
Medaglia, A. L., Fang, S. C., Nuttle, H. L. W., & Wilson, J. R. (2002), European Journal of Operational Research, 139(1), 84–95. https://doi.org/10.1016/S0377-2217(01)00157-6
An improved batch means procedure for simulation output analysis
Steiger, N. M., & Wilson, J. R. (2002), Management Science, 48(12), 1569–1586. https://doi.org/10.1287/mnsc.48.12.1569.438
Alan Pritsker's multifaceted career: theory, practice,education, entrepreneurship, and service
Wilson, J. R., & Goldsman, D. (2001). Alan Pritsker’s multifaceted career: theory, practice,education, entrepreneurship, and service. IIE Transactions, 33(3), 139–147. https://doi.org/10.1080/07408170108936818,
Convergence properties of the batch means method for simulation output analysis
Steiger, N. M., & Wilson, J. R. (2001), INFORMS Journal on Computing, 13(4), 277–293. https://doi.org/10.1287/ijoc.13.4.277.9737
Modeling and simulating Poisson processes having trends or nontrigonometric cyclic effects
Kuhl, M. E., & Wilson, J. R. (2001), European Journal of Operational Research, 133(3), 566–582. https://doi.org/10.1016/S0377-2217(00)00203-4
A flexible simulation tool for manufacturing-cell design, I: model structure, operation, and case study
Irizarry, M. D. A., Wilson, J. R., & Trevino, J. (2001), IIE Transactions, 33(10), 827–836. https://doi.org/10.1023/A:1010966420792
A flexible simulation tool for manufacturing-cell design, II: response surface analysis and case study
Irizarry, M. D. A., Wilson, J. R., & Trevino, J. (2001), IIE Transactions, 33(10), 837–846. https://doi.org/10.1023/A:1010970504862
A multiplicative decomposition property of the screening-and- selection procedures of Nelson et al.
Wilson, J. R. (2001), Operations Research, 49(6), 964–966. https://doi.org/10.1287/opre.49.6.964.10013
Least squares estimation of nonhomogeneous poisson processes
Kuhl, M. E., & Wilson, J. R. (2000), Journal of Statistical Computation and Simulation, 67(1), 75–108.
Simulation Modeling of the textile supply chain - Part 1: The textile-plant models
Nuttle, H. L. W., King, R. E., Hunter, N. A., Wilson, J. R., & Fang, S. C. (2000), Journal of the Textile Institute, 91(1), 35–50. https://doi.org/10.1080/00405000008659526
Simulation Modeling of the textile supply chain - Part II: Results and research directions
Nuttle, H. L. W., King, R. E., Fang, S. C., Wilson, J. R., & Hunter, N. A. (2000), Journal of the Textile Institute, 91(1), 51–64. https://doi.org/10.1080/00405000008659527
Simulation world loses key founder, A. Alan B. Pritsker (1933-2000) - In memoriam
Wilson, J. R. (2000, August),
A revised simplex search procedure for stochastic simulation response surface optimization
Humphrey, D. G., & Wilson, J. R. (2000), INFORMS Journal on Computing, 12(4), 272–283. https://doi.org/10.1287/ijoc.12.4.272.11879
An empirical approach to characterizing trunk muscle coactivation using simulation input modeling techniques
Mirka, G. A., Glasscock, N. F., Stanfield, P. M., & Wilson, J. R. (2000), Journal of Biomechanics, 33(12), 1701–1704.
Scheduling with alternatives: a link between process planning and scheduling
Weintraub, A., Cormier, D., Hodgson, T., King, R., Wilson, J., & Zozom, A. (1999), IIE Transactions, 31(11), 1093–1102.
Correlation-induction techniques for estimating quantiles in simulation experiments
Aramidis, A. N., & Wilson, J. R. (1998), Operations Research, 46(4), 574–591. https://doi.org/10.1287/opre.46.4.574
Evaluation of AGV routeing strategies using hierarchical simulation
Seifert, R. W., Kay, M. G., & Wilson, J. R. (1998), International Journal of Production Research, 36(7), 1961–1976. https://doi.org/10.1080/002075498193057
The Winter Simulation Conference: The premier forum on simulation practice and theory
Wilson, J. R., Carson, J. S., & Manivannan, M. (1998), AMSTAT News, 257(1998), 16–17.
Empirical investigation of the benefits of partial Lamarckianism
Houck, C. R., Joines, J. A., Kay, M. G., & Wilson, J. R. (1997), IEEE Transactions on Evolutionary Computation, 5(1), 31–60.
Estimating and simulating Poisson processes having trends or multiple periodicities
Kuhl, M. E., Wilson, J. R., & Johnson, M. A. (1997), IIE Transactions, 29(3), 201–211. https://doi.org/10.1080/07408179708966327
In memoriam: Harold Highland (1917-1997)
Schriber, T. J., & Wilson, J. R. (1997), OR/MS Today, 24(6), 55.
A method for the incorporation of parametric uncertainty in the weighted evaluation multi-attribute decision analysis model
Lavelle, J. P., Wilson, J. R., Gold, H. J., & Canada, J. R. (1997), Computers & Industrial Engineering, 32(4), 769–786. https://doi.org/10.1016/S0360-8352(97)00012-0

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