Publications with Song-Hee Kim

Song-Hee Kim (also known as Hailey) completed her doctoral studies at Columbia in 2014. After spending a year as a Postdoctoral Associate in Operations Management, at the Yale School of Managment, she joined Marshall School of Business at USC. At Columbia Song-Hee focused on service systems with special attention to healthcare operations management. She was co-advised by Carri Chan and Marcelo Olivares from the Decision, Risk and Operations (DRO) Division of the Columbia Business School.

Here are our completed papers:

  1. Statistical Analysis with Little's Law. Operations Research, vol. 61, No. 4, July-August 2013, pp. 1030-1045. [PDF].
  2. Estimating Waiting Times with the Time-Varying Little's Law. Probability in the Engineering and Informational Sciences, vol. 27, 2013, pp. 471-506. [PDF].
  3. Using Simulation to Study Statistical Tests for Arrival Processes and Service Time Models for Service Systems. Proceedings of the 2013 Winter Simulation Conference, R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M. E. Kuhl, eds., Washington, D.C. (with Song-Hee Kim) [PDF].
  4. Choosing Arrival Process Models for Service Systems: Tests of a Nonhomogeneous Poisson Process. Naval Research Logistics, vol. 61, No. 1, 2014, pp. 66-90. [PDF].
  5. Are Call Center and Hospital Arrivals Well Modeled by Nonhomogeneous Poisson Processes? Manufacturing and Service Operations Management [PDF].
  6. The Power of Alternative Kolmogorov-Smirnov Tests Based on Transformations of the Data. ACM Transactions on Modeling and Computer Simulation (TOMACS) [PDF].
  7. Poisson and Non-Poisson Properties in Appointment-Generated Arrival Processes: the Case of an Endocrinology Clinic. Operations Research Letters, vol 43, 2015, pp. 247-253 (with Ponni Vel and Won Chul Cha). [PDF].
  8. A Data-Driven Model of an Appointment-Generated Arrival Processes at an Outpatient Clinic. (with Won Chul Cha). [PDF].