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. and Goldsman, D. and Mokashi, A. C. and Wilson, J. R. (2017), ACM Transactions on Modeling and Computer Simulation, 27(4), .
Creation of the computer simulation archive
Sargent, R. G. and Wilson, J. R. (2017), Winter Simulation Conference Proceedings, (), 324-329.
History of the Winter Simulation Conference: Overview and notable facts and figures
Goldsman, D. and Costa, M. D. and Goldsman, P. and Wilson, J. R. (2017), Winter Simulation Conference Proceedings, (), 16-39.
A stochastic model of acute-care decisions based on patient and provider heterogeneity
Capan, M. and Ivy, J. S. and Wilson, J. R. and Huddleston, J. M. (2017), Health Care Management Science, 20(2), 187-206.
Implementing discrete event simulation to improve optometry clinic operations
Seminelli, M. D. and Wilson, J. W. and McConnell, B. M. (2016), Winter Simulation Conference Proceedings, (), 2157-2168.
Modeling for the equitable and effective distribution of donated food under capacity constraints
Orgut, I. S. and Ivy, J. and Uzsoy, R. and Wilson, J. R. (2016), IIE Transactions, 48(3), 252-266.
Multifractal detrended fluctuation analysis: Practical applications to financial time series
Thompson, J. R. and 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. and Goldsman, D. and Tang, P. and Wilson, J. R. (2016), IIE Transactions, 48(9), 864-880.
Agent-based simulations of financial markets: zero- and positive-intelligence models
Thompson, J. R. and 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. and Ivy, J. S. and Wilson, J. R. and Ballan, M. J. and Diehl, K. M. and 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. and Kim, S. H. and Huo, X. M. and Hur, Y. and 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. and Ivy, J. S. and King, R. E. and Wilson, J. R. and Ballan, M. J. and Kay, M. G. and Diehl, K. M. and 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. and Ivy, J. S. and Wilson, J. R. and Diehl, K. and 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. and Hodgson, T. J. and King, R. E. and Thoney, K. A. and Wilson, J. R. (2013), Computers & Operations Research, 40(1), 328-343.
Monitoring nonlinear profiles using a wavelet-based distribution-free CUSUM chart
Lee, J. and Hur, Y. and Kim, S. H. and 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. and Steiger, N. M. and 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), Simulation, 87(3), 262-266.
Performance of Skart: A Skewness- and Autoregression-Adjusted Batch Means Procedure for Simulation Analysis
Tafazzoli, A. and Wilson, J. R. and Lada, E. K. and 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. and 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. and Tejada, J. J. and Yousefi, S. and Xu, T. X. and Wilson, J. R. and Tafazzoli, A. and Steiger, N. M. (2010), Winter Simulation Conference Proceedings, (), 971-982.
Monitoring autocorrelated processes using a distribution-free tabular CUSUM chart with automated variance estimation
Lee, J. and Alexopoulos, C. and Goldsman, D. and Kim, S. H. and Tsui, K. L. and Wilson, J. R. (2009), IIE Transactions, 41(11), 979-994.
Area variance estimators for simulation using folded standardized time series
Antonini, C. and Alexopoulos, C. and Goldsman, D. and Wilson, J. R. (2008), IIE Transactions, 41(2), 134-144.
Modeling patient arrivals in community clinics
Alexopoulos, C. and Goldsman, D. and Fontanesi, J. and Kopald, D. and Wilson, J. R. (2008), Omega, 36(1), 33-43.
SKART: a skewness- and autoregression-adjusted batch-means procedure for simulation analysis
Tafazzoli, A. and Wilson, J. R. and Lada, E. K. and Steiger, N. M. (2008), 2008 Winter Simulation Conference, vols 1-5, (), 387-395.
Editor's introduction: Special issue honoring Perwez Shahabuddin
Wilson, J. R. (2007), ACM Transactions on Modeling and Computer Simulation, 17(2), .
Efficient computation of overlapping variance estimators for simulation
Alexopoulos, C. and Argon, N. T. and Goldsman, D. and Steiger, N. M. and Tokol, G. and Wilson, J. R. (2007), INFORMS Journal on Computing, 19(3), 314-327.
Linear combinations of overlapping variance estimators for simulation
Aktaran-Kalayci, T. and Goldsman, D. and Wilson, J. R. (2007), Operations Research Letters, 35(4), 439-447.
Overlapping variance estimators for simulation
Alexopoulos, C. and Argon, N. T. and Goldsman, D. and Tokol, G. and Wilson, J. R. (2007), Operations Research, 55(6), 1090-1103.
Performance of a wavelet-based spectral procedure for steady-state simulation analysis
Lada, E. K. and Wilson, J. R. and Steiger, N. M. and Joines, J. A. (2007), INFORMS Journal on Computing, 19(2), 150-160.
A distribution-free tabular CUSUM chart for autocorrelated data
Kim, S. H. and Alexopoulos, C. and Tsui, K. L. and Wilson, J. R. (2007), IIE Transactions, 39(3), 317-330.
Performance evaluation of recent procedures for steady-state simulation analysis
Lada, E. K. and Steiger, N. M. and Wilson, J. R. (2006), IIE Transactions, 38(9), 711-727.
A wavelet-based spectral procedure for steady-state simulation analysis
Lada, E. K. and Wilson, J. R. (2006), European Journal of Operational Research, 174(3), 1769-1801.
An automated multiresolution procedure for modeling complex arrival processes
Kuhl, M. E. and Sumant, S. G. and Wilson, J. R. (2006), INFORMS Journal on Computing, 18(1), 3-18.
Accounting for input-model and input-parameter uncertainties in simulation
Zouaoui, F. and Wilson, J. R. (2004), IIE Transactions, 36(11), 1135-1151.
Accounting for parameter uncertainty in simulation input modeling
Zouaoui, F. and Wilson, J. R. (2003), IIE Transactions, 35(9), 781-792.
Analyzing transformation-based simulation metamodels
Irizarry, M. D. A. and Kuhl, M. E. and Lada, E. K. and Subramanian, S. and Wilson, J. R. (2003), IIE Transactions, 35(3), 271-283.
Recent results from the national spherical torus experiment
Maingi, R. and Bell, M. G. and Bell, R. E. and Bialek, J. and Bourdelle, C. and Bush, C. E. and Darrow, D. S. and Fredrickson, E. D. and Gates, D. A. and Gilmore, M. and Gray, T. and Jarboe, T. R. and Johnson, D. W. and Kaita, R. and Kaye, S. M. and Kubota, S. and Kugel, H. W. and Leblanc, B. P. and al, (2003), Plasma Physics and Controlled Fusion, 45(5), 657-669.
Responsible authorship and peer review
Wilson, J. R. (2002), Science and Engineering Ethics, 8(2), 155-174.
A wavelet-based procedure for process fault detection
Lada, E. K. and Lu, J. C. and Wilson, J. R. (2002), IEEE Transactions on Semiconductor Manufacturing, 15(1), 79-90.
An efficient and flexible mechanism for constructing membership functions
Medaglia, A. L. and Fang, S. C. and Nuttle, H. L. W. and Wilson, J. R. (2002), European Journal of Operational Research, 139(1), 84-95.
An improved batch means procedure for simulation output analysis
Steiger, N. M. and Wilson, J. R. (2002), Management Science, 48(12), 1569-1586.
Alan Pritsker's multifaceted career: theory, practice,education, entrepreneurship, and service
Wilson, J. R. and Goldsman, D. (2001), IIE Transactions, 33(3), 139-147.
Convergence properties of the batch means method for simulation output analysis
Steiger, N. M. and Wilson, J. R. (2001), INFORMS Journal on Computing, 13(4), 277-293.
Modeling and simulating Poisson processes having trends or nontrigonometric cyclic effects
Kuhl, M. E. and Wilson, J. R. (2001), European Journal of Operational Research, 133(3), 566-582.
A flexible simulation tool for manufacturing-cell design, I: model structure, operation, and case study
Irizarry, M. D. A. and Wilson, J. R. and Trevino, J. (2001), IIE Transactions, 33(10), 827-836.
A flexible simulation tool for manufacturing-cell design, II: response surface analysis and case study
Irizarry, M. D. A. and Wilson, J. R. and Trevino, J. (2001), IIE Transactions, 33(10), 837-846.
A multiplicative decomposition property of the screening-and- selection procedures of Nelson et al.
Wilson, J. R. (2001), Operations Research, 49(6), 964-966.
Least squares estimation of nonhomogeneous poisson processes
Kuhl, M. E. and 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. and King, R. E. and Hunter, N. A. and Wilson, J. R. and Fang, S. C. (2000), Journal of the Textile Institute, 91(1), 35-50.
Simulation Modeling of the textile supply chain - Part II: Results and research directions
Nuttle, H. L. W. and King, R. E. and Fang, S. C. and Wilson, J. R. and Hunter, N. A. (2000), Journal of the Textile Institute, 91(1), 51-64.
Simulation world loses key founder, A. Alan B. Pritsker (1933-2000) - In memoriam
Wilson, J. R. (2000), Simulation, 75(2), 123-124.
A revised simplex search procedure for stochastic simulation response surface optimization
Humphrey, D. G. and Wilson, J. R. (2000), INFORMS Journal on Computing, 12(4), 272-283.
An empirical approach to characterizing trunk muscle coactivation using simulation input modeling techniques
Mirka, G. A. and Glasscock, N. F. and Stanfield, P. M. and Wilson, J. R. (2000), Journal of Biomechanics, 33(12), 1701-1704.
Scheduling with alternatives: a link between process planning and scheduling
Weintraub, A. and Cormier, D. and Hodgson, T. and King, R. and Wilson, J. and Zozom, A. (1999), IIE Transactions, 31(11), 1093-1102.
Correlation-induction techniques for estimating quantiles in simulation experiments
Aramidis, A. N. and Wilson, J. R. (1998), Operations Research, 46(4), 574-591.
Evaluation of AGV routeing strategies using hierarchical simulation
Seifert, R. W. and Kay, M. G. and Wilson, J. R. (1998), International Journal of Production Research, 36(7), 1961-1976.
The Winter Simulation Conference: The premier forum on simulation practice and theory
Wilson, J. R. and Carson, J. S. and Manivannan, M. (1998), AMSTAT News, 257(1998), 16-17.
Empirical investigation of the benefits of partial Lamarckianism
Houck, C. R. and Joines, J. A. and Kay, M. G. and 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. and Wilson, J. R. and Johnson, M. A. (1997), IIE Transactions, 29(3), 201-211.
In memoriam: Harold Highland (1917-1997)
Schriber, T. J. and 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. and Wilson, J. R. and Gold, H. J. and Canada, J. R. (1997), Computers & Industrial Engineering, 32(4), 769-786.

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