Russell R. Barton

Color portrait of Russell R. Barton

Professor

Department Supply Chain & Information Systems
Office Address 413 Business Building
Phone Number 814-863-7289
Email Address rbarton@psu.edu

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Russell Barton is a Distinguished Professor of Supply Chain and Information Systems in the Smeal College of Business at Penn State, with a courtesy appointment as Professor of Industrial Engineering in the College of Engineering. He is a Fellow of the IISE and a Senior Member of the IEEE. He was President of the 500-member INFORMS Simulation Society and Vice President for Sections and Societies for INFORMS. He is a Certified Analytics Professional.

Expertise

Professor Barton's research interests include predictive analytics, graphical methods for experiment design, design of experiments and metamodeling methods applied to simulation models, and multivariate statistical models of product and process behavior.

Education

Ph D, Operations Research, Cornell University, 1978

MS, Operations Research, Cornell University, 1975

BS, Electrical Engineering, Princeton University, 1973

Courses Taught

BAN 840 – Predictive Analytics for Bus (3)
BAN 840 explores the use of predictive analytics tools and techniques throughout a wide range of business scenarios and problems. Initially focusing on the application of traditional predictive analytics techniques to answer the question, "What will happen in the future?", the course provides opportunities for students to apply regression and forecasting techniques to data from various business contexts to inform business leaders¿ decision. Later, students explore various software applications and techniques for acquiring, preparing, and analyzing "big data", recognizing and taking advantage of the exponential growth in the amount of structured and unstructured data generated by and available to businesses. The course next examines cutting-edge techniques gaining increased attention among analytics experts, including data mining, text analytics, and social media analytics. Finally, students will be given an overview of the future of predictive analytics, developing an awareness of artificial intelligence and machine learning concepts, such as neural networks, to help them advance their organizations¿ business analytics capabilities. Software packages, concepts, and business applications will vary and evolve to keep pace with technology, theory, and instructor interests.

IE 600 – Thesis Research (Variable)

SCIS 545 – Sc Sys Sim (3)
Application of computer simulation to analysis and design of supply chain and information systems design; simulation experiments in SC&IS research. SC&IS 545 Supply Chain Systems Simulation (3) This course will provide an introduction to Monte Carlo and discrete-event simulation. Material will be aimed at the students who need to use simulation as a research tool at a sophisticated level. Although the focus of the course is the application of simulation to the analysis and design of supply chain and information decision systems, the material in this course will be appropriate for a much broader range of applications. Some time will be spend constructing simulation models of real-world systems, but the bulk of the course will be devoted to the statistical analysis required for correctly specifying input processes and interpreting the output of simulation models.This is an elective course for graduate students in SC&IS, which may also serve graduate students in related fields of study. Student evaluations are based on a series of classroom assignments. This course will be offered during Spring semester to approximately 5-10 students.

SCM 200H – Hnr Intro Stat Bus (4)

SCM 596 – Individual Studies (1)
Creative projects, including nonthesis research, that are supervised on an individual basis and which fall outside the scope of formal courses.

BA 296 – Indep Studies (1)
Creative projects, including research and design, which are supervised on an individual basis and which fall outside the scope of formal courses.

SCM 496 – Indep Studies (Variable)
Creative projects, including research and design, that are supervised on an individual basis and that fall outside the scope of formal courses.

IE 596 – Individual Studies (Variable)
Creative projects, including nonthesis research, which are supervised on an individual basis and which fall outside the scope of formal courses.

I E 596 – Individual Studies (2)
Creative projects, including nonthesis research, which are supervised on an individual basis and which fall outside the scope of formal courses.

SC&IS 545 – Supply Chain Systems Simulation (3)
Application of computer simulation to analysis and design of supply chain and information systems design; simulation experiments in SC&IS research.

SCM 499 – Foreign Studies (3)
Courses offered in foreign countries by individual or group instruction.

QMM 597 – Special Topics (variable)
Formal courses given on a topical or special interest subject which may be offered infrequently; several different topics may be taught in one year or semester.

QMM 593 – Field Experience in Manufacturing (variable)
Experiential learning through the firsthand study of manufacturing plants and by interacting with manufacturing leaders.

SCM 200 – Introduction to Statistics for Business (4)
Introduction to business statistics including topics in probability theory, sampling, inference, quality assurance, regression, forecasting, and simulation.

QMM 561 – Manufacturing Systems Planning and Control I (3)
Systems, components and configurations, flow of material and information in a manufacturing system.

QMM 596 – Individual Studies (variable)
Creative projects, including nonthesis research, that are supervised on an individual basis and which fall outside the scope of formal courses.

QMM 572 – Design Practice for Manufacturing II (3)
Contemporary concepts in design and design practice with emphasis on logistics, risk, design and manufacturing readiness, and production.

QMM 571 – Design Practice for Manufacturing I (3)
Contemporary concepts in design and design practice with emphasis on engineering, business, and human strategic issues.

SC&IS 596 – Individual Studies (variable)
Creative projects, including nonthesis research, that are supervised on an individual basis and which fall outside the scope of formal courses. A specific title may be used in each instance and will be entered on the student's transcript.

Selected Publications

Barton R. R., Morris M. D., "Designing Experiments for Forward-Inverse Maps." Technometrics, 2024
Barton R. R., "Predictive Analytics for Business using R." (World Scientific Publishing Company), 2024, pp. 410, www.worldscientific.com/worldscibooks/10.1142/13856#t=aboutBook
This is a text developed to cover material in the professional graduate course "Predictive Analytics for Business" - this year was the third offering of the resident course, and my third time teaching it. I was unable to find a test with all topics, not a text at a satisfactory level.
Parasrampuria H., Barton R. R., "Assessing Scheduling Strategies for a Shared Resource for Multiple Asynchronous Lines." 2024, pp. 12
Eun H., Shashaani S., Barton R. R., "Comparative Analysis of Distance metrics for Distributionally Robust Optimization in Queueing Systems: Wasserstein vs. Kingman." 2024, pp. 12
Wei G., Liu X., Barton R. R., "An Extended PDE-Based Statistical Spatio-Temporal Model that Suppresses the Gibbs Phenomenon." Environmetrics, vol. 35, no. 2, 2024, pp. 18
Song E., Lam H., Barton R. R., "A Shrinkage Approach to Improve Direct Bootstrap Resampling under Input Uncertainty." INFORMS Journal on Computing, 2024
Barton R. R., Rhodes-Leader L. A., "Bootstrap Confidence Intervals for Simulation Output Parameters." 2023, pp. 421-432
Barton R. R., "Tutorial: Basics of Metamodeling." 2023, pp. 1516-1530
Xie W., Barton R. R., Nelson B. L., Wang K., "Stochastic simulation uncertainty analysis to accelerate flexible biomanufacturing process development." European Journal of Operational Research, vol. 310, no. 1, 2023, pp. 238-248
Barton R. R., "Metamodelling: power, pitfalls and model-free interpretation." 2023, pp. 48-62
Barton R. R., "Tutorial: Metamodeling for Simulation." 2022, pp. 1268-1282
Rhodes-Leader L., Morgan L., Barton R. R., "Reducing and Calibrating for Input Model Bias in Computer Simulation." INFORMS Journal on Computing, 2022
Barton R. R., Lam H., Song E., "Input Uncertainty in Stochastic Simulation." (Springer), 2022, pp. 48
Morgan L., Barton R. R., "Fourier Trajectory Analysis For System Discrimination." European Journal of Operational Research, vol. 296, no. 1, 2022, pp. 203-217.
Barton R. R., "Tutorial: Graphical Methods for the Design and Analysis of Experiments." Proceedings of the 2021 Winter Simulation Conference, 2021, pp. 1-13
Barton R. R., "Some Formulation Issues in Constructing Metamodels." Proceedings of the Operational Research Society Simulation Workshop 2021 (SW21), 2021, pp. 287-294
Barton R. R., "Tutorial: Metamodeling for Simulation." Proceedings of the 2020 Winter Simulation Conference, 2020, pp. 1102-1116
Pedrielli G., Barton R. R., "Metamodel-based Quantile Estimation for Hedging Control of Manufacturing Systems." Proceedings of the 2019 Winter Simulation Conference, 2019, pp. 452-463
Barton R. R., Lam H., Song E., "Revisiting Direct Bootstrap Resampling for Input Model Uncertainty." Proceedings of the 2018 Winter Simulation Conference, 2018, pp. 1635-1645
Barton R. R., Nakayama M. K., Schruben L. W., "History of Improving Statistical Efficiency." Proceedings of the 2017 Winter Simulation Conference, 2017, pp. 158-180
Morrice D. J., Barton R. R., Joines J. A., "History of the Winter Simulation Conference: Period of Growth, Consolidation and Innovation (1993-2007)." Proceedings of the 2017 Winter Simulation Conference, 2017, pp. 87-99
Kumar A., Barton R. R., "Controlled Violation of Temporal Process Constraints – Models, Algorithms and Results." Information Systems, 2017, pp. 410-424, www.sciencedirect.com/science/journal/03064379/64
Wu X., Barton R. R., "Fourier Trajectory Analysis for Identifying System Congestion." Proceedings of the 2016 Winter Simulation Conference, 2016, pp. 401-412
Xie W., Nelson B. L., Barton R. R., "Multivariate Input Uncertainty in Output Analysis for Stochastic Simulation." ACM Transactions on Modeling and Simulation, vol. 27, no. 1, 2016, pp. 22pp.
Barton R. R., "Tutorial: Simulation Metamodeling." Proceedings of the 2015 Winter Simulation Conference, 2015, pp. 1765-1779
Kumar A., Sabbella S. R., Barton R. R., "Managing Controlled Violation of Temporal Process Constraints." Proceedings of the 2015 International Conference on Business Process Management (BPM 2015), 2015, pp. 280-296
Xie W., Nelson B. L., Barton R. R., "Statistical Uncertainty Analysis for Stochastic Simulation with Dependent Input Models." Proceedings of the 2014 Winter Simulation Conference, 2014
Xie W., Nelson B., Barton R. R., "A Bayesian Framework for Quantifying Uncertainty in Stochastic Simulation." Operations Research, vol. 62, no. 6, 2014, pp. 1439-1452
Barton R. R., Nelson B. L., Xie W., "Quantifying input uncertainty via simulation confidence intervals." INFORMS Journal on Computing, vol. 26, 2014, pp. 74-87
Barton R. R., "Designing Simulation Experiments." Proceedings of the 2013 Winter Simulation Conference, 2013, pp. 342-353
Spears J., Barki H., Barton R. R., "Theorizing the concept and role of assurance in information systems security." Information & Management, vol. 50, no. 7, 2013, pp. 598-605
Barton R. R., "Response Surface Methodology." Encyclopedia of Operations Research and Management Science, Springer Science+Business Media, 2013, pp. 1307-1313
Barton R. R., "Tutorial: input uncertainty in output analysis." Proceedings of the 2012 Winter Simulation Conference, 2012
Shu J., Barton R. R., "Managing supply chain execution: monitoring timeliness and correctness via individualized trace data." Production and Operations Management, 2012
Barton R. R., "Special Report (Part 2): O.R. & the National Science Foundation." OR/MS Today, vol. 39, no. 3, 2012, pp. 42-46
Barton R. R., "Special Report: O.R. & the National Science Foundation." OR/MS Today, vol. 39, no. 3, 2012, pp. 34-39
Mo Y., Harrison T. P., Barton R. R., "Solving stochastic programming models in supply chain design using sampling heuristics." IMA Journal of Management Mathematics, vol. 22, no. 1, 2011, pp. 65-77
Barton R. R., Nelson B., Xie W., "A framework for input uncertainty analysis." Proceedings of the Winter Simulation Conference, 2010
Willis D. E., Simpson T. W., Henn R. L., Hunter S. T., Parkinson M. B., Celento D. J., Barton R. R., Purao S., "From Border Skirmishes to Strategic Alliances: Barriers to Design Innovation and Collaboration Between Architects and Engineers, and an Opportunity for Moving Beyond Them." Innovation in Architecture, Engineering and Construction, 2010, pp. 54-64
Barton R. R., "Design of simulation experiments.." Proceedings of the 2010 Winter Simulation Conference, 2010
Barton R. R., "Simulation optimization using metamodels." 2009, pp. 230-238
Barton R. R., "Interdisciplinary graduate design programs: results and recommendations from a NSF workshop." Proceedings of the 2009 ASME Design Engineering Technical Conferences, 2009
Barton R. R., "Mapping design domains, bridging design cultures." Journal of Mechanical Design, no. 131, 2009, pp. 1-2
Barton R. R., "Simulation optimization using metamodels." Proceedigs of the 2009 Winter Simulation Conference, 2009, pp. 230-238
Umapathy K., Purao S., Barton R. R., "Designing enterprise integration solutions: effectively." European Journal of Information Systems, 2008
Barton R. R., Umapathy K., Purao, "Designing Enterprise Integration Solutions – Effectively." Proceedings of the International Conference on Design Science Research in Information Systems and Technology (DESRIST), 2008
Barton R. R., Shu J., "Simulation of Process Execution Monitoring and Adjustment Schemes." Proceedings of the 2008 Winter Simulation Conference, 2008
Barton R. R., "Simulation of process execution monitoring and adjustment schemes." Proceedings of the 2008 Winter Simulation Conference, 2008
Barton R. R., "Interdisciplinary by design." ME magazine, vol. 130, 2008
Barton R. R., Simpson T., Frecker M., Rothrock L., "Graphical and text-based design interfaces for parameter design of an i-beam, desk lamp, aircraft wing, and job shop manufacturing system.." Engineering with Computers, vol. 23, 2007, pp. 93-107
Barton R. R., Simpson T., Barron K., Rothrock L., Frecker M., Ligetti C., "Impact of response delay and training on user performance with text-based and graphical user interfaces for engineering design.." Research in Engineering Design, vol. 18, 2007, pp. 49-65
Barton R. R., delCastillo E., Runger G., Woodall W., "Optimal monitoring of multivariate data for fault patterns.." Journal of Quality Technology, vol. 39, 2007, pp. 159-172

Research Impact and Media Mentions

"6412 Google Scholar Citations", Google Scholar, Internet, scholar.google.com/citations?user=uxWXegwAAAAJ&hl=en
"2951 Scopus Citations", Elsevier, Internet
"341 citations of patent 4,630,109", U.S. Patent Office, uspto.gov, Internet
"Media Mention: Monitoring and Forecasting Job Progress and Job Completion Times", FabTime Cycle Time Management Newsletter, Internet, www.FabTime.com

Editorships

IMA Journal of Management Mathematics, Other, October 2022 - Present
ACM Transactions on Modeling and Computer Simulation, Associate Editor, (dl.acm.org/journal/tomacs), August 2021 - April 2024
Operations Research, Associate Editor, September 2012 - April 2023
IIE Transactions, Associate Editor, January to December 2010
INFORMS Journal on Computing, Associate Editor, January 2005 - January 2013
IMA Journal of Management Mathematics, Associate Editor, January 2001 - October 2022

Honors and Awards