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