Yuting Yuan
I am an Assistant Professor of Supply Chain Management at the Smeal College of Business, Pennsylvania State University. My research is focused on service operations and interpretable decision-making. I am particularly interested in integrating mathematical modeling with data science to derive practical decision support tools with solid theoretical foundations.
I received my Ph.D. in Operations Management at Simon Business School, University of Rochester, under the supervision of Professor Yaron Shaposhnik. Before joining Smeal, I was a Visiting Assistant Professor of Mathematics and Data Science at the College of William & Mary.
Selected Research (Reverse chronological order)
Designing Chick-fil-A Drive-through: Managing Congestion with Discrete Event Simulation
Yuting Yuan; Major revision, INFORMS Transactions on Education; Case Article, Online notebook
Managing Flexible Capacity in Service Systems with Worker Shortages
(Previously, "Staff Sharing under Uncertainty")
Yuting Yuan; Major revision, M&SOM, Draft_08/24
Waiting-Time Prediction with Invisible Customers
Yoav Kerner, Ricky Roet-Green, Arik Senderovich, Yaron Shaposhnik, Yuting Yuan; Minor revision, M&SOM, Draft
Interpretable Prediction Rules for Congestion Risk in Intensive Care Units
Fernanda Bravo, Cynthia Rudin, Yaron Shaposhnik, Yuting Yuan; Stochastic Systems, 14(2), 111-130 UCLA Anderson Review
Information Visibility in Omnichannel Queues
Ricky Roet-Green, Yuting Yuan; Draft available at SSRN
Conference Talks
INFORMS Annual Meeting, Phoenix, AZ, 2023
INFORMS Annual Meeting, Indianapolis, IN, 2022
INFORMS Healthcare Conference, Virtual, 2021
CORS Annual Conference, Virtual, 2021
POMS 31th Annual Conference, Virtual, 2021
INFORMS Annual Meeting, Virtual, 2020
INFORMS Annual Meeting, Seattle, WA, 2019
INFORMS Workshop on Data Science, Seattle, WA, 2019
INFORMS Healthcare Conference, Cambridge, MA, 2019
POMS 30th Annual Conference, Washington D.C., 2019
A 5-minute video tour of my research (produced in 2021).