Uta Mohring

Sustainable operations management and sharing economy applications in logistics, manufacturing, and urban mobility

Dynamic Appointment Scheduling with Patient Time Preferences and Different Service Time Lengths


Journal article


Anne Zander, Uta Mohring
Lecture Notes in Management Science, vol. 8, 2016, pp. 72-77

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APA   Click to copy
Zander, A., & Mohring, U. (2016). Dynamic Appointment Scheduling with Patient Time Preferences and Different Service Time Lengths. Lecture Notes in Management Science, 8, 72–77.


Chicago/Turabian   Click to copy
Zander, Anne, and Uta Mohring. “Dynamic Appointment Scheduling with Patient Time Preferences and Different Service Time Lengths.” Lecture Notes in Management Science 8 (2016): 72–77.


MLA   Click to copy
Zander, Anne, and Uta Mohring. “Dynamic Appointment Scheduling with Patient Time Preferences and Different Service Time Lengths.” Lecture Notes in Management Science, vol. 8, 2016, pp. 72–77.


BibTeX   Click to copy

@article{anne2016a,
  title = {Dynamic Appointment Scheduling with Patient Time Preferences and Different Service Time Lengths},
  year = {2016},
  journal = {Lecture Notes in Management Science},
  pages = {72-77},
  volume = {8},
  author = {Zander, Anne and Mohring, Uta}
}

Abstract

In this paper we consider the appointment schedule of a physician’s day. We assume patient types defined by different time preferences and service time lengths. Patient requests for the day are handled directly during a booking horizon. We present a mixed integer linear programming model to determine a set of appointments to offer a patient requesting an appointment. The objective is to schedule the requesting patient while also taking future demand into account. We want to maximize the overall utilization assuring a certain fairness level. We further implement a simulation in order to test the mixed integer linear program and to compare it to simpler online heuristics.





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