Barry L. Nelson
Walter P. Murphy Professor
Department of Industrial Engineering & Management Sciences
McCormick School of Engineering and
Applied Science
Northwestern University
2145 Sheridan Road, Room M326
Evanston, IL 60208-3119
nelsonb@northwestern.edu
Distinguished Visiting Scholar
Lancaster University
Management School
Page Map
- Education
- Research and Teaching Interests
- Videos
- Projects
- Important Links
- Publications, Working Papers and Books
- Software
- Courses
- Detailed Vitae (pdf)
- Family Pictures
Education
- BA, Mathematics and Computer Science, DePauw University
- MS, PhD, Industrial Engineering, Purdue University
Research and Teaching Interests
- computer simulation of stochastic systems
- stochastic processes
- statistical learning
Nelson teaches courses on computer simulation and statistical learning. He was named McCormick teacher of the year in 1998 and 2007, was elected to the 2002, 2003 and 2007 ASG Faculty Honor Rolls, received the 2003 Northwestern Alumni Association Excellence in Teaching Award, was given the 2004 IISE Operations Research Division Award and the 2019 Modeling and Simulation Division Award for Excellence in the Teaching, and was a Charles Deering McCormick Professor of Teaching Excellence.
Videos
- Uncredited appearance on the CBS Evening News regarding Mega Millions Lottery
- Discrete-decision-variable Simulation Optimization in Operational Research Data-Centric Engineering Webinar, Cambridge University
- Rebooting Simulation for Big Data, Big Computing and Big Consequences from 2020 INFORMS National Meeting Keynote Address.
- Masterclass: Ranking & Selection for Simulation Optimization
- Parallel Adaptive Survivor Selection for Very Large-Scale Simulation Optimization from 2019 INFORMS Applied Probability Conference.
- Video of Nelson's WSC 2017 Keynote Address and Slides (pdf)
- Video of Nelson's 2018 Pritsker Lecture at Purdue
- Video of Nelson's WSC 2013 Titans of Simulation Talk
- Video of Nelson's Omega Rho Lecture at INFORMS 2011
Projects
- PI on General Motors Grant "Mobility as a Service Network
Simulation."
- PI with Andreas Waechter and Eunhye Song on NSF Grant "Adaptive
Gaussian Markov Random Fields for Large-scale Discrete Optimization
via Simulation."
- PI on NSF Grant "Green Simulation."
- PI with Emily Lada and Bahar Biller (SAS Institute) on NSF GOALI Grant "Simulation
Analytics."
- PI with Peiling Wu (GM) on General Motors Grant "Quantifying the
Uncertainty in the Content Optimization Analysis."
- PI with Dennis Pegden (Simio LLC) on NSF GOALI Grant "Quantifying Input
Uncertainty in Stochastic Simulation."
- Co-PI with Bruce Ankenman and Jeremy Staum on NSF Grant
"Stochastic Kriging: Modeling and Controlling Uncertainty in
Simulation."
- Co-PI with Wally Hopp on General Motors Grant "Strategic
Decision Making Support Over the Manufacturing Life Cycle."
- Co-PI with Jeremy Staum on National Science Foundation Grant
"Simulating Coherent Risk Measures."
- Co-PI with Mike Taaffe on National Science Foundation Grant
"QNATS - The Queueing Network Approximator for Time-Dependent
Systems."
- Co-PI with Bruce Ankenman, John Fowler and Gerald Mackulak on
Semiconductor Research Corporation Grant "Multi-product Cycle Time
and Throughput Evaluation via Simulation on Demand."
- Co-PI with Sigrun Andradottir on the National Science
Foundation Grant A Framework for
Effective Optimization via Simulation.
- Co-PI with Bruce Ankenman on General Motors Grant "A Simulation Design
and Analysis Environment for GM." (completed)
- Co-PI with Bruce Ankenman, John Fowler and Gerald Mackulak on
National Science Foundation Grant
Procedures for Efficient Cycle Time-Throughput Curve
Generation. (completed)
- Co-PI with Joseph Schofer on TCRP Grant B-23 "Resource
Requirements for Demand-Responsive Transportation Services." (completed)
- PI on General Motors Grant "A Simulation Framework for Vehicle
Distribution Systems." (completed)
- Co-PI with David Goldsman on the National Science Foundation
Grant Comparisons via Stochastic Simulation,
with Applications to Manufacturing and Services. (completed)
- Co-PI with James R. Wilson on the National Science Foundation
Grant A Comprehensive Framework and
Software for Simulation Input Modeling. (completed)
- PI on Scenario
Generation and Evaluation in Discrete-Event Simulation sponsored
by JGC Corporation. (completed)
Important Links
- The Winter Simulation Conference web site.
- The INFORMS Simulation Society.
Publications and Books
Ranking & Selection, Multiple ComparisonsVariance Reduction
Input Modeling and Input Uncertainty
Optimization via Simulation
Output Analysis
Queueing
Other Topics
Working Papers
Books
Software
Click here to download FMAdist, an R package for creating simulation input models via frequentist model averaging.
Click here to download sensitivity, an R package for global sensitivity analysis that contains our work on Shapley effects.
Click here to download Industrial Strength Compass software for optimization via simulation.
Click here to download ARTAFACTS and ARTAGEN software for time series input modeling.
Click here to download VARTA software for multivariate time series input modeling.
Click here to download Maple procedures to analyze Ph(t)/Ph(t)/Infinity queues.
Course Taught
- IEMS 304 Statistical Learning for Data Analysis
- IEMS 317 Discrete-Event Systems Simulation
- IEMS 415 Computer Simulation for Risk and Operations Analysis (MEM Course)
- IEMS 435 Stochastic Simulation
- IEMS 465 Simulation Experiment Design and Analysis
- STOR 606 Stochastic Simulation (Lancaster University)
Short Courses
- Design and analysis of discrete-event simulation experiments, emphasizing input modeling, experimental design and output analysis.
- Ranking and selection methods.
- Spreadsheet simulation, emphasizing how to select probablity distributions based on little or no data.
- Use of basic queueing models.
last update 11/22/2020