Russell R. Barton
Professor of Supply Chain & Information Systems
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 in Operations Research, Cornell University, Ithaca, NY, 1978-01-01 MS in Operations Research, Cornell University, Ithaca, NY, 1975-01-01 BS in Electrical Engineering, Princeton University, Princeton, NJ, 1973-01-01
Courses Taught
BA 296 – Indep Studies
Creative projects, including research and design, which are supervised on an individual basis and which fall outside the scope of formal courses.
BAN 840 – Predictive Analytics for Bus
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.
I E 596 – Individual Studies
Creative projects, including nonthesis research, which are supervised on an individual basis and which fall outside the scope of formal courses.
IE 596 – Individual Studies
Creative projects, including nonthesis research, which are supervised on an individual basis and which fall outside the scope of formal courses.
IE 600 – Thesis Research
QMM 561 – Manufacturing Systems Planning and Control I
Systems, components and configurations, flow of material and information in a manufacturing system.
QMM 571 – Design Practice for Manufacturing I
Contemporary concepts in design and design practice with emphasis on engineering, business, and human strategic issues.
QMM 572 – Design Practice for Manufacturing II
Contemporary concepts in design and design practice with emphasis on logistics, risk, design and manufacturing readiness, and production.
QMM 593 – Field Experience in Manufacturing
Experiential learning through the firsthand study of manufacturing plants and by interacting with manufacturing leaders.
QMM 596 – Individual Studies
Creative projects, including nonthesis research, that are supervised on an individual basis and which fall outside the scope of formal courses.
QMM 597 – Special Topics
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.
SC&IS 545 – Supply Chain Systems Simulation
Application of computer simulation to analysis and design of supply chain and information systems design; simulation experiments in SC&IS research.
SC&IS 596 – Individual Studies
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.
SCIS 545 – Sc Sys Sim
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 200 – Introduction to Statistics for Business
Introduction to business statistics including topics in probability theory, sampling, inference, quality assurance, regression, forecasting, and simulation.
SCM 200H – Hnr Intro Stat Bus (H)
Topics include descriptive statistics, probability distributions, statistical inference, regression and correlation, and forecasting. SCM 200H Honors Introduction to Statistics for Business (4) (GQ) SCM 200 introduces basic statistical concepts and models within the framework of business problems and applications. Students learn about the usefulness of business statistics to decision making, how to perform basic statistical and analytical procedures, and how to interpret, critically evaluate, and analyze data. Special emphasis is given to active learning methods. Grades are primarily determined by homework, quizzes, mid-term exams and a final exam.
SCM 496 – Indep Studies
Creative projects, including research and design, that are supervised on an individual basis and that fall outside the scope of formal courses.
SCM 499 – Foreign Studies
Courses offered in foreign countries by individual or group instruction.
SCM 596 – Individual Studies
Creative projects, including nonthesis research, that are supervised on an individual basis and which fall outside the scope of formal courses.
Selected Publications
Barton R. R., Morris M. D. "Designing Experiments for Forward-Inverse Maps" Technometrics, 2024-10-01
Barton R. R. "Predictive Analytics for Business using R" 2024-07-21
Parasrampuria H., Barton R. R. "Assessing Scheduling Strategies for a Shared Resource for Multiple Asynchronous Lines" Proceedings of the 2024 Winter Simulation Conference, 2024-06-01
Eun H., Shashaani S., Barton R. R. "Comparative Analysis of Distance metrics for Distributionally Robust Optimization in Queueing Systems: Wasserstein vs. Kingman" Proceedings of the 2024 Winter Simulation Conference, 2024-06-01
Wei G., Liu X., Barton R. R. "An Extended PDE-Based Statistical Spatio-Temporal Model that Suppresses the Gibbs Phenomenon" Environmetrics, vol. 35, 2024-04-01
Song E., Lam H., Barton R. R. "A Shrinkage Approach to Improve Direct Bootstrap Resampling under Input Uncertainty" INFORMS Journal on Computing, 2024-02-01
Barton R. R., Rhodes-Leader L. A. "Bootstrap Confidence Intervals for Simulation Output Parameters" Proceedings of the 2023 Winter Simulation Conference, 2023-12-12
Barton R. R. "Tutorial: Basics of Metamodeling" Proceedings of the 2023 Winter Simulation Conference, 2023-12-10
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, 2023-10-01
Barton R. R. "Metamodelling: power, pitfalls and model-free interpretation" Proceedings of SW23, 2023-03-01
Barton R. R. "Tutorial: Metamodeling for Simulation" Proceedings of the 2022 Winter Simulation Conference, 2022-12-01
Barton R. R., Lam H., Song E. "Input Uncertainty in Stochastic Simulation" The Palgrave Operations Research Handbook, 2022-07-01
Rhodes-Leader L., Morgan L., Barton R. R. "Reducing and Calibrating for Input Model Bias in Computer Simulation" INFORMS Journal on Computing, 2022-07-01
Morgan L., Barton R. R. "Fourier Trajectory Analysis For System Discrimination" European Journal of Operational Research, vol. 296, 2022-01-01
Barton R. R. "Tutorial: Graphical Methods for the Design and Analysis of Experiments" Proceedings of the 2021 Winter Simulation Conference, 2021-12-01
Barton R. R. "Some Formulation Issues in Constructing Metamodels" Proceedings of the Operational Research Society Simulation Workshop 2021 (SW21), 2021-03-01
Barton R. R. "Tutorial: Metamodeling for Simulation" Proceedings of the 2020 Winter Simulation Conference, 2020-12-01
Pedrielli G., Barton R. R. "Metamodel-based Quantile Estimation for Hedging Control of Manufacturing Systems" Proceedings of the 2019 Winter Simulation Conference, 2019-12-01
Barton R. R., Lam H., Song E. "Revisiting Direct Bootstrap Resampling for Input Model Uncertainty" Proceedings of the 2018 Winter Simulation Conference, 2018-12-01
Barton R. R., Nakayama M. K., Schruben L. W. "History of Improving Statistical Efficiency" Proceedings of the 2017 Winter Simulation Conference, 2017-12-01
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, 2017-12-01
Kumar A., Barton R. R. "Controlled Violation of Temporal Process Constraints – Models, Algorithms and Results" Information Systems, 2017-01-01
Wu X., Barton R. R. "Fourier Trajectory Analysis for Identifying System Congestion" Proceedings of the 2016 Winter Simulation Conference, 2016-12-01
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, 2016-11-01
Barton R. R. "Tutorial: Simulation Metamodeling" Proceedings of the 2015 Winter Simulation Conference, 2015-12-01
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), 2015-09-01
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, 2014-12-01
Xie W., Nelson B., Barton R. R. "A Bayesian Framework for Quantifying Uncertainty in Stochastic Simulation" Operations Research, vol. 62, 2014-10-01
Barton R. R., Nelson B. L., Xie W. "Quantifying input uncertainty via simulation confidence intervals" INFORMS Journal on Computing, vol. 26, 2014-01-01
Barton R. R. "Designing Simulation Experiments" Proceedings of the 2013 Winter Simulation Conference, 2013-12-01
Spears J., Barki H., Barton R. R. "Theorizing the concept and role of assurance in information systems security" Information & Management, vol. 50, 2013-11-01
Barton R. R. "Response Surface Methodology" Encyclopedia of Operations Research and Management Science, 2013-09-01
Barton R. R. "Tutorial: input uncertainty in output analysis" Proceedings of the 2012 Winter Simulation Conference, 2012-12-01
Shu J., Barton R. R. "Managing supply chain execution: monitoring timeliness and correctness via individualized trace data" Production and Operations Management, 2012-07-01
Barton R. R. "Special Report (Part 2): O.R. & the National Science Foundation" OR/MS Today, vol. 39, 2012-06-01
Barton R. R. "Special Report: O.R. & the National Science Foundation" OR/MS Today, vol. 39, 2012-04-01
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, 2011-01-01
Barton R. R., Nelson B., Xie W. "A framework for input uncertainty analysis" Proceedings of the Winter Simulation Conference, 2010-12-01
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, 2010-06-09
Barton R. R. "Design of simulation experiments." Proceedings of the 2010 Winter Simulation Conference, 2010-01-01
Barton R. R. "Simulation optimization using metamodels" Proceedings of the 2009 Winter Simulation Conference, 2009-12-01
Barton R. R. "Interdisciplinary graduate design programs: results and recommendations from a NSF workshop" Proceedings of the 2009 ASME Design Engineering Technical Conferences, 2009-01-01
Barton R. R. "Mapping design domains, bridging design cultures" Journal of Mechanical Design, 2009-01-01
Barton R. R. "Simulation optimization using metamodels" Proceedigs of the 2009 Winter Simulation Conference, 2009-01-01
Umapathy K., Purao S., Barton R. R. "Designing enterprise integration solutions: effectively" European Journal of Information Systems, 2008-09-01
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), 2008-01-01
Barton R. R. "Interdisciplinary by design" ME magazine, vol. 130, 2008-01-01
Barton R. R. "Simulation of process execution monitoring and adjustment schemes" Proceedings of the 2008 Winter Simulation Conference, 2008-01-01
Barton R. R., Shu J. "Simulation of Process Execution Monitoring and Adjustment Schemes" Proceedings of the 2008 Winter Simulation Conference, 2008-01-01
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, 2007-01-01
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, 2007-01-01
Barton R. R., delCastillo E., Runger G., Woodall W. "Optimal monitoring of multivariate data for fault patterns." Journal of Quality Technology, vol. 39, 2007-01-01