Background

Shannon Harris is an assistant professor of Operations Management. She came to Fisher in 2016 after earning a PhD in Business Analytics and Operations from the University of Pittsburgh. Shannon’s teaching experience includes courses in Statistics and Data Mining, and she has assisted with courses in Negotiations and Conflict Resolution.

Shannon is interested in research topics in data analytics with a focus on healthcare applications. Her current research analyzes the attendance behavior of patients to outpatient clinic appointments, and how that behavior affects a clinic’s scheduling practices. Her work has been published in the European Journal of Operational Research and the Journal of Multi-Criteria Decision Analysis.

Shannon has work experience in management consulting and cost analysis. She has served as a track chair for several INFORMS and CORS conference sessions, and has served on the board of the INFORMS Minority Issues Forum (MIF) and the PhD Project student planning committee.

Education

PhD in Business Analytics and Operations, Katz Graduate School of Business, University of Pittsburgh

BS in Systems Engineering and Operations Research, George Mason University

Publications

Harris, S. L., May, J. H., Vargas, L. G. (2016). “Predictive analytics model for healthcare planning and scheduling.” European Journal of Operational Research, 253(1), 121-131.

Lin, C.S., and Harris, S.L. (2013) "A Unified Framework for the Prioritization of Organ Transplant Patients: Analytic Hierarchy Process, Sensitivity and Multifactor Robustness Study." Journal of Multi‐Criteria Decision Analysis, 20(3-4), 157-172.

Castaneda, E.; Gonzalez, J.; Harris, S.L.; Kim, J. (2007, April) “Optimized Airport Security Infrastructure System (OASIS).” In Systems and Information Engineering Design Symposium, 2007. SIEDS 2007. IEEE (pp. 1-6)

Courses

  • MBA 6273 - Data Analysis for Managers

    Introduction to data analysis and statistics for business. Emphasis on achieving an application-oriented understanding of statistical inference and regression analysis and their use in decision making. Prereq: Enrollment in MBA or WPMBA program, or permission of instructor. Not open to students with credit for 6271 or 870.