Penn State Smeal College of Business
Business Building
475 Shortlidge Rd
University Park, PA 16802

Emeritus Professor of Supply Chain & Information Systems
Professor Harrison has teaching and research interests in the areas of supply chain management and modeling, large scale production anddistribution systems, decision support systems, applied optimizationand the management of renewable natural resources.
Ph D in Management Science, The University of Tennessee, Knoxville, TN, 1983-08-01 MS in Management Science, The University of Tennessee, Knoxville, TN, 1981-01-01 BS in Forest Science/Forest Products, The Pennsylvania State University, University Park, PA, 1977-01-01
B A 302 – Supply Chains
Introduction to key elements and strategic importance of supply chain networks.
B A 302H – Supply Chains (H)
Introduction to key elements and strategic importance of supply chain networks.
B A 510 – Supply Chain and Operations Management
Introduction to the organizational processes and methods used to create and deliver goods and services.
B A 596 – MBA practicum
One credit MBA elective on sustainability
B A 596 – MBA Practicum
1 credit practicum on sustainability
B LOG 596 – Individual Studies
Creative projects, including nonthesis research, which are supervised on an individual basis and which fall outside the scope of formal courses.
BA 510 – SC Operations Mgmt
This course is designed to provide students with an overview of the role of operations in the organization, the kinds of decisions operations and supply chain managers make, and the impact of these decisions on the strategic and tactical position of the firm. Supply chain management is a particular focus in the course. The interaction of production, distribution and information resources plays a critical role in developing and sustaining a firm's competitive advantage.
BAN 550 – Prscptve Analytics
Development of methods for prescriptive analytics with a focus on business supply side decisions and risk mitigation.BAN 550 Prescriptive Analytics for Business (3) Analytics, defined as the scientific process of using data and quantitative techniques to make better decisions, has permeated virtually all aspects of business. The widespread availability of large amounts of detailed data combined with analytics methods permits an extensive examination of the tradeoffs that inform business decision making, with the ultimate goal of choosing "best" courses of action. BAN 550 explores the use of prescriptive analytics methods in a variety of business contexts. In the early part of the course, the focus is on the tools and methods of prescriptive analytics. As the course progresses the emphasis shifts to the effective integration and implementation of prescriptive analytics in supply-side decision making processes such as supply chain management, service management, operations, logistics and transportation. The applications areas within business will reflect the interests of the instructors and will evolve as new areas of theory and practice develop.
SC&IS 525 – Supply Chain Optimization
Introduction to theory and practice of optimization methods and models for analyzing and improving the performance of supply chain environments.
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.
SC&IS 597A – Operations Research in Supply Chains (A)
Principles of SC&IS emphasizing research topics; introduction to optimization methods for analyzing and improving the performance of supply chain environments.
SC&IS 597I – Supply Chain Principles I (I)
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 601 – Thesis Preparation
SCIS 525 – Sup Chn Opt
Introduction to theory and practice of optimization methods and models for analyzing and improving the performance of supply chain environments. SC&IS 525 Supply Chain Optimization (3) This course introduces students to the optimization methods and models that are applicable to managing supply chains and provides a quantitative foundation for research in supply chain management. The primary objective is to investigate the theory and practice of optimization methods, especially as they apply to managing large, interconnected supply chains. The investigation includes mathematical programming techniques, modeling approaches, and optimization languages.This is a required course for Ph.D. students in SC&IS and an element of a set of methodological courses designed to provide a framework for analytical study of supply chain management. The course may also serve graduate students in related fields of study. Student evaluations are based on individual and group assignments or projects and examinations. This course will be offered during Spring semester to approximately 5-10 students.
SCM 530 – Meth Scm
Methods and tools to support supply chain decision making with emphasis on forecasting, inventory analysis, and demand planning.
SCM 530 – Supply Chain Analysis
Methods and tools to support supply chain decision making with emphasis onforecasting, inventory analysis, and demand planning.
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.
SCM 597A – Supply Chain Immersion (A)
Formal courses given on a topical or special interest subject which may be offered infrequently; several different topics may be tuaght in one year or semester.
SCM 597P – Sustainability Practicum (P)
Practicum working with the office of physical plant and procurement services to define sustainable practices.
Lilien G., Murphy F., Harrison T. P., Camm J., Bollapragada S., Gorman M. "Editorial: A retrospective from the editors-in-chief on the history of interfaces/INFORMS journal on applied analytics" INFORMS Journal on Applied Analytics, vol. 50, 2020-11-01
Harrison T. P. "Distance business analytics education" OR/MS Today, 2018-08-01
Letizia P., Pourakbar M., Harrison T. P. "The Impact of Consumer Returns on the Multichannel Sales Strategies of Manufacturers" Production and Operations Management, vol. 27, 2018-02-01
Caryon P., Dwork C., Harrison T. P., Karr A., Keller S., MacLean A., Maier D., Robinson S., Sackett P., Squillante M., Strickland W., Tadelis S. "Strengthening Data Science Methods for Department of Defense Personnel and Readiness Missions" National Academy of Sciences, 2017-03-01
Neidigh R. O., Harrison T. P. "Optimizing lot sizing with nonlinear production rates in a multi-product multi-machine environment" International Journal of Production Research, vol. 55, 2017-02-01
Scott F. A., Harrison T. P. "Additive Manufacturing In An End-to-End Supply Chain Setting" Additive Manufacturing, 2015-06-01