Grants per year
Personal profile
Research Interests
The design and analysis of computer simulation experiments, particularly issues of statistical efficiency (such as variance-reduction techniques), multivariate output analysis (such as multiple-comparison procedures and optimization via simulation), multivariate input modeling (such as modeling and generation of nonstationary arrival processes), metamodeling, input uncertainty (model risk) and computer simulation analytics. Application areas include financial engineering, computer performance modeling, quality control, manufacturing systems and transportation systems. Additional interests in numerical evaluation of non-stationary queueing processes common in telecommunications and service systems.
Education/Academic qualification
Operations Research, Industrial Engineering, PhD, Purdue University
… → 1983
Operations Research, Industrial Engineering, MS, Purdue University
… → 1981
Mathematics and Computer Science, BA, DePauw University
… → 1979
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Collaborations and top research areas from the last five years
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Collaborative Research: Inference on expensive, grey-box simulation models
Plumlee, M. & Nelson, B. L.
8/1/22 → 7/31/25
Project: Research project
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Rescuing Kidneys at Risk of Discard
Mehrotra, S., Friedewald, J. J., Gordon, E., Ladner, D. P. & Nelson, B. L.
National Institute of Diabetes and Digestive and Kidney Diseases
4/1/19 → 3/31/24
Project: Research project
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Collaborative Research: Adaptive Gaussian Markov Random Fields for Large-scale Discrete Optimization via Simulation
7/15/19 → 6/30/23
Project: Research project
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Green Simulation: A Methodology for Reusing the Output of Past Computer Simulation Experiments
Nelson, B. L., Staum, J. C. & Dong, J.
1/1/17 → 6/30/21
Project: Research project
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A spline function method for modelling and generating a nonhomogeneous poisson process
Morgan, L. E., Nelson, B. L., Titman, A. C. & Worthington, D. J., 2023, (Accepted/In press) In: Journal of Simulation.Research output: Contribution to journal › Article › peer-review
Open Access -
Stochastic simulation uncertainty analysis to accelerate flexible biomanufacturing process development
Xie, W., Barton, R. R., Nelson, B. L. & Wang, K., Oct 1 2023, In: European Journal of Operational Research. 310, 1, p. 238-248 11 p.Research output: Contribution to journal › Article › peer-review
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A Classification Method for Ranking and Selection with Covariates
Keslin, G., Nelson, B. L., Plumlee, M., Pagnoncelli, B. K. & Rahimian, H., 2022, Proceedings of the 2022 Winter Simulation Conference, WSC 2022. Feng, B., Pedrielli, G., Peng, Y., Shashaani, S., Song, E., Corlu, C. G., Lee, L. H., Chew, E. P., Roeder, T. & Lendermann, P. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 156-167 12 p. (Proceedings - Winter Simulation Conference; vol. 2022-December).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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A multi-fidelity modelling approach for airline disruption management using simulation
Rhodes-Leader, L. A., Nelson, B. L., Onggo, B. S. & Worthington, D. J., 2022, In: Journal of the Operational Research Society. 73, 10, p. 2228-2241 14 p.Research output: Contribution to journal › Article › peer-review
Open Access3 Scopus citations -
Foundations of Ranking & Selection for Simulation Optimization
Nelson, B. L., Jan 1 2022, Advances in Modeling and Simulation: Festschrift for Pierre L'Ecuyer. Springer International Publishing, p. 353-379 27 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter
Datasets
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General-purpose Ranking & Selection for Computer Simulation
Lee, S. (Contributor) & Nelson, B. L. (Creator), figshare, 2016
DOI: 10.6084/m9.figshare.1632868.v1, https://figshare.com/articles/General_purpose_Ranking_amp_Selection_for_Computer_Simulation/1632868/1
Dataset
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General-purpose ranking and selection for computer simulation
Lee, S. (Contributor) & Nelson, B. L. (Creator), figshare, 2016
DOI: 10.6084/m9.figshare.1632868.v2, https://figshare.com/articles/General_purpose_Ranking_amp_Selection_for_Computer_Simulation/1632868/2
Dataset
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Quickly Assessing Contributions to Input Uncertainty
Song, E. (Contributor) & Nelson, B. L. (Creator), figshare, 2015
DOI: 10.6084/m9.figshare.1243722.v3, https://figshare.com/articles/Quickly_Assessing_Contributions_to_Input_Uncertainty/1243722/3 and one more link, https://figshare.com/articles/Quickly_Assessing_Contributions_to_Input_Uncertainty/1243722/2 (show fewer)
Dataset