Christopher J. Solo
Clinical Assistant Professor of Supply Chain and Analytics, Director
Dr. Solo teaches a variety of courses in Supply Chain Management and Management Information Systems at Penn State. Prior to joining the Smeal faculty, Dr. Solo served over 21 years on active duty in the U.S. Air Force, where he held leadership positions in the intelligence, acquisition program management, and operations research analyst career fields. During this time, Dr. Solo also served on the faculty at the U.S. Air Force Academy, where he taught undergraduate courses covering probability and statistics, optimization, decision analysis, queueing theory, and simulation. Dr. Solo retired from the Air Force in the rank of lieutenant colonel and is a member of the Institute for Operations Research and the Management Sciences (INFORMS).
Ph D, Industrial Engineering and Operations Research, Penn State University, 2009
MS, Operations Research (Operational Modeling; Probabilistic Operations Research), United States Air Force Institute of Technology, 2004
BS, Mathematics (General Option), Penn State University, 1994
SCM 301 – Sup Chn Mgt (3)
SCM 301 is an introductory course that provides an overview of key logistics and supply chain management processes, concepts, and methodologies. Emphasis is given to the framework for supply chain management, the analysis of logistics cost, and service trade-offs among inventory, transportation, and warehousing activities, the strategic role of information technology in supply chains, the use of third-party logistics providers, and the methods of measuring the value of logistics performance. Instruction is based on problem-based learning pedagogy.
BAN 530 – Data Anlycs Strat (3)
Data analytics problem-solving strategies applied to a real-world business context. BAN 530 Business Strategies for Data Analytics (3) BAN 530 integrates the descriptive/prescriptive/predictive framework for business analytics courses and sets analytics problem solving in a real-world business context. The objective is to provide students with experience with noisy data sets, potential compliance issues, non-standard measures across business units, and other real-world considerations in using data to drive decisions. The course will examine the entire life cycle of a data analytics project, from data origination through collection, filtering, tool selection, calculation, and communication. Particular emphasis will be placed on problem formulation: identifying what the business issue is at hand, what data might be useful in understanding that issue, and what tools can be most usefully applied in a particular context. In addition, communication skills will be emphasized: how data informs the decision-making process when the audience likely lacks the specialized quantitative literacy of the project team. Other important considerations include many facets of information privacy: students will consider the ethical and legal implications of de-anonymization, of deep insight into individual behavior, and of opt-in versus opt-out models of participation.
SCM 421 – Sc Analytics (3)
Models and Methodologies for supply chain analysis. SCM 421 Supply Chain Analytics (3) This course provides a spreadsheet-based, example-driven approach to learn about important supply chain models, problems, and solution methodologies. The objectives of this course are: (1) to develop valuable modeling skills that students can appreciate and use effectively in their careers (2) reinforce and enrich your understanding of supply chain theories, principles, and concepts studied previously in foundation courses. Student evaluation is based on: (1) individual and team group performance on problem-based exercises (2) individual performance on examinations (3) class participation.
MIS 204 – Intro Bus Inf Sys (3)
Introduction to the use of information systems in business organizations. MIS 204 Introduction to Business Information Systems (3) Introduction to Business Information Systems is an applications-oriented course that provides an overview of (1) the role of information systems in business process design, (2) the current technologies used for obtaining, storing, and communicating information in support of operations and decision-making within a business organization, and (3) the concepts and principles for programming, developing, and using popular spreadsheet and database tools. Applications focus on important problems and issues found in business disciplines, including accounting, finance, marketing, supply chain operations, and general management.The evaluation of students will be based on tests, programming projects, and hands-on exercises. This course is a prescribed course for Smeal Business students. M I S 204 will be offered in the fall, spring and summer semesters, and enrollment per annum of approximately 1, 200 students.