Julie Ivy


Fitts Faculty Fellow

Julie Simmons Ivy is a professor in the Edward P. Fitts Department of Industrial and Systems Engineering and Fitts Faculty Fellow in Health Systems Engineering. She previously spent several years on the faculty of the Stephen M. Ross School of Business at the University of Michigan. She received her B.S. and Ph.D. in Industrial and Operations Engineering at the University of Michigan. She also received her M.S. in Industrial and Systems Engineering with a focus on Operations Research at Georgia Tech. She is a President of the Health Systems Engineering Alliance (HSEA) Board of Directors. She is an active member of the Institute of Operations Research and Management Science (INFORMS), Dr. Ivy served as the 2007 Chair (President) of the INFORMS Health Applications Society and the 2012 – 13 President for the INFORMS Minority Issues Forum. Her research interests are mathematical modeling of stochastic dynamic systems with an emphasis on statistics and decision analysis as applied to health care, public health, and humanitarian logistics. This research has made an impact on how researchers and practitioners address complex societal issues, such as health disparities, public health preparedness, hunger relief, student performance, and personalized medical decision-making and has been funded by CDC, NSF, Clinton Health Access Initiative, and the UNC Cancer Center.


Ph.D. 1998


University of Michigan

MS 1992

Master of Science

Georgia Institute of Technology

BS 1991

Bachelor of Science

University of Michigan

Research Description

Dr. Ivy's primary research interests are in the mathematical modeling of stochastic dynamic systems with emphasis on statistics and decision analysis as applied to health care, manufacturing, and service environments. The focus of her research is decision making under conditions of uncertainty with the objective of improving the decision quality. Dr. Ivy's research program seeks to develop novel concepts of maintenance and monitoring policies and associated scientific theories, and apply them specifically to two important application domains: industrial and medical decision making. She has extensive background in stochastic modeling, in particular the application of partially observable Markov decision processes (POMDPs) and Markov decision processes (MDPs). Dr. Ivy's medical decision making research relates to studying the cost-effectiveness of mammography screening, dynamic breast cancer screening policy development, false positive prediction as a function of breast cancer screening policy, the impact of comorbidity on breast cancer patient outcomes modeling birth delivery choice as a function of long term consequences such as pelvic floor dysfunction, patient-centered pharmaceutical inventory management, and public health preparedness. In addition to her research in medical decision making, Dr. Ivy also works in the area of humanitarian logistics particularly as it relates to hunger relief and equitable food distribution. Her research has been funded by the NSF and the Centers for Disease Control.

Honors and Awards

  • C. A. Anderson Outstanding Faculty Award, ISE Department at NC State University, 2012
  • Moving Spirit Award, INFORMS, 2016


Simulation model of the relationship between cesarean section rates and labor duration
Hicklin, K. T., Ivy, J. S., Wilson, J. R., Payton, F. C., Viswanathan, M., & Myers, E. R. (2019), HEALTH CARE MANAGEMENT SCIENCE, 22(4), 635–657. https://doi.org/10.1007/s10729-018-9449-3
Diabetes and the hospitalized patient: A cluster analytic framework for characterizing the role of sex, race and comorbidity from 2006 to 2011
Nataraj, N., Ivy, J. S., Payton, F. C., & Norman, J. (2018), HEALTH CARE MANAGEMENT SCIENCE, 21(4), 534–553. https://doi.org/10.1007/s10729-017-9408-4
Exploring the Value of Waiting During Labor
Hicklin, K., Ivy, J. S., Payton, F. C., Viswanathan, M., & Myers, E. (2018), SERVICE SCIENCE, 10(3), 334–353. https://doi.org/10.1287/serv.2018.0205
Not all organ dysfunctions are created equal - Prevalence and mortality in sepsis
Capan, M., Hoover, S., Ivy, J. S., Miller, K. E., & Arnold, R. (2018), JOURNAL OF CRITICAL CARE, 48, 257–262. https://doi.org/10.1016/j.jcrc.2018.08.021
Robust optimization approaches for the equitable and effective distribution of donated food
Orgut, I. S., Ivy, J. S., Uzsoy, R., & Hale, C. (2018), European Journal of Operational Research, 269(2), 516–531. https://doi.org/10.1016/j.ejor.2018.02.017
A stochastic model of acute-care decisions based on patient and provider heterogeneity
Capan, M., Ivy, J. S., Wilson, J. R., & Huddleston, J. M. (2017), Health Care Management Science, 20(2), 187–206. https://doi.org/10.1007/s10729-015-9347-x
LSTM for septic shock: Adding unreliable labels to reliable predictions
Zhang, Y., Lin, C., Chi, M., Ivy, J., Capan, M., & Huddleston, J. M. (2017), 2017 IEEE International Conference on Big Data (Big Data), 1233–1242. https://doi.org/10.1109/bigdata.2017.8258049
Modeling for the equitable and effective distribution of food donations under stochastic receiving capacities
Orgut, I. S., Ivy, J., & Uzsoy, R. (2017), IISE Transactions, 49(6), 567–578. https://doi.org/10.1080/24725854.2017.1300358
A Framework for modeling the complex interaction between breast cancer and diabetes
Goodarzi, S. H., McKenzie, K., Nataraj, N., Ivy, J. S., Mayorga, M., Mason, J., & Tejada, J. (2016), 2016 10th european conference on antennas and propagation (eucap), 1245–1256. https://doi.org/10.1109/wsc.2014.7019981
Achieving equity, effectiveness, and efficiency in food bank operations: Strategies for feeding America with implications for global hunger relief
Orgut, I. S., Brock, L. G., Davis, L. B., Ivy, J. S., Jiang, S., Morgan, S. D., … Middleton, E. (2016), Advances in Managing Humanitarian Operations, 235, 229–256.

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