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Jim Wilson

Jim Wilson

· Professor, Industrial and Systems Engineering

North Carolina State University · Finance

Active 1961–2025

h-index44
Citations6.1k
Papers29212 last 5y
Funding$535k

Academic metrics are sourced from OpenAlex and public funding records; values may differ from Google Scholar.

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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

  • Improving chemotherapy infusion operations through the simulation of scheduling heuristics: a case study

    Health Systems · 2020 · 21 citations

    Senior authorCorresponding

    Over 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 author

    Sequest 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 author

    We 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 author

    Uncertainty 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 authorCorresponding

    Extending 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

Frequent coauthors

  • David Goldsman

    Georgia Institute of Technology

    48 shared
  • Christos Alexopoulos

    Georgia Institute of Technology

    44 shared
  • V. Gene Erwin

    University of Colorado Health

    26 shared
  • Natalie M. Steiger

    University of Maine

    26 shared
  • Gerald E. McCleam

    Hawaii Department of Health

    25 shared
  • Michael E. Kuhl

    Rochester Institute of Technology

    25 shared
  • Emily K. Lada

    SAS Institute (United States)

    20 shared
  • Russell E. King

    North Central State College

    16 shared

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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