
Jim Wilson
· Professor, Industrial and Systems EngineeringNorth Carolina State University · Finance
Active 1961–2025
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About
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. His research interests include probabilistic and statistical issues in the design and analysis of large-scale simulation experiments, such as modeling, estimation, and generation of stochastic input processes, analysis of output processes, and improving simulation efficiency using variance reduction techniques. He also focuses on optimization using multiple-comparison and search procedures and applying these techniques to the analysis of production systems. Wilson holds a Ph.D. from Purdue University obtained in 1979, an M.S. from Purdue University in 1977, and a B.A. from Rice University in 1970. He has received numerous honors, including being named the Top North American Researcher in Industrial and Manufacturing Engineering in 2022, and has been recognized with awards such as the David F. Baker Distinguished Research Award and the IIE Transactions Best Paper Award. He is a Fellow of the Institute of Industrial Engineers and the Institute for Operations Research and the Management Sciences.
Research topics
- Computer Science
- Statistics
- Mathematics
- Applied mathematics
- Stereochemistry
- Algorithm
- Internal medicine
- Simulation
- Emergency medicine
- Medical emergency
Selected publications
Health Systems · 2020 · 21 citations
Senior authorCorrespondingOver the last decade, chemotherapy treatments have dramatically shifted to outpatient services such that nearly 90% of all infusions are now administered outpatient. This shift has challenged oncology clinics to make chemotherapy treatment as widely available as possible while attempting to treat all patients within a fixed period of time. Historical data from a Veterans Affairs chemotherapy clinic in the United States and staff input informed a discrete event simulation model of the clinic. The…
Sequest: A Sequential Procedure for Estimating Quantiles in Steady-State Simulations
Operations Research · 2019-06-28 · 17 citations
articleSenior authorSequest is an automated sequential simulation-analysis procedure designed to provide improved point and confidence-interval (CI) estimators for a designated steady-state quantile by the use of batching and sectioning. The procedure incorporates techniques to do the following: (i) reduce the absolute bias of the sectioning-based point estimator caused by atypical simulation initialization or an inadequate sample size, (ii) adjust the batching-based CI half-length to compensate for correlation or…
Modeling and Simulation of Nonstationary Non-Poisson Arrival Processes
INFORMS journal on computing · 2019-04-01 · 14 citations
articleSenior authorWe develop CIATA, a combined inversion-and-thinning approach for modeling a nonstationary non-Poisson process (NNPP), where the target arrival process is described by a given rate function and its associated mean-value function together with a given asymptotic variance-to-mean (dispersion) ratio. CIATA is based on the following: (i) a piecewise-constant majorizing rate function that closely approximates the given rate function from above; (ii) the associated piecewise-linear majorizing mean-valu…
Assessing uncertainty and risk in an expeditionary military logistics network
The Journal of Defense Modeling and Simulation Applications Methodology Technology · 2019-07-10 · 10 citations
articleSenior authorUncertainty is rampant in military expeditionary operations spanning high-intensity combat to humanitarian operations. These missions require rapid planning and decision-support tools to address the logistical challenges involved in providing support in often austere environments. The US Army’s adoption of an enterprise resource planning system provides an opportunity to develop automated decision-support tools and other analytical models designed to take advantage of newly available logistical…
Steady-State Quantile Estimation Using Standardized Time Series
2018 Winter Simulation Conference (WSC) · 2020 · 8 citations
Senior authorCorrespondingExtending developments of Calvin and Nakayama in 2013 and Alexopoulos et al. in 2019, we formulate point and confidence-interval (CI) estimators for given quantiles of a steady-state simulation output process based on the method of standardized time series (STS). Under mild, empirically verifiable conditions, including a geometric-moment contraction (GMC) condition and a functional central limit theorem for an associated indicator process, we establish basic asymptotic properties of the STS quan…
Recent grants
NIH · $185k · 1992
NSF · $210k · 2012–2015
A Comprehensive Framework and Software for Simulation Input Modeling
NSF · $140k · 1999–2002
Frequent coauthors
- 48 shared
David Goldsman
Georgia Institute of Technology
- 44 shared
Christos Alexopoulos
Georgia Institute of Technology
- 26 shared
V. Gene Erwin
University of Colorado Health
- 26 shared
Natalie M. Steiger
University of Maine
- 25 shared
Gerald E. McCleam
Hawaii Department of Health
- 25 shared
Michael E. Kuhl
Rochester Institute of Technology
- 20 shared
Emily K. Lada
SAS Institute (United States)
- 16 shared
Russell E. King
North Central State College
Awards & honors
- 2022 | Top North American Researcher in Industrial and Manuf…
- 2013 | David F. Baker Distinguished Research Award, Institut…
- 2011 | Distinguished Contributions Award, Association for Co…
- 2011 | IIE Transactions Best Paper Award in Operations Engin…
- 2009 | Faculty Award, NC State University Libraries
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