994. Nurse Workload Balancing for Chemotherapy Scheduling: An application at Hacettepe Oncology Hospital
Invited abstract in session WD-11: Chemotherapy scheduling, stream OR in Healthcare (ORAHS).
Wednesday, 14:30-16:00Room: Clarendon SR 1.03
Authors (first author is the speaker)
| 1. | Gunsu Dagistanli Calli
|
| Industrial Engineering, Middle East Technical University | |
| 2. | Meral Azizoglu
|
| Department of Industrial Engineering, Middle East Technical University |
Abstract
The increasing demand for chemotherapy treatments exceeds the capacity of oncology clinics, making efficient planning crucial. The first stage involves allocating patients to treatment days and the second stage schedules daily appointments to chairs and nurses. Based on observations at Hacettepe Oncology Hospital, we propose several mathematical programming models for the second stage, known as the Chemotherapy Appointment Scheduling (CAS) problem. Our models assume that patient treatment times and chair assignments are given, and they make nurse assignments.
First, we determine the minimum number of nurses required to implement the given treatment times and chair schedule. For a fixed number of available nurses, we aim to balance their workloads through two objective functions: minimizing the maximum workload and minimizing the squared total deviation of nurse workloads from the mean. We show that the two objectives are equivalent when there are two nurses and propose a Mixed Integer Linear Program (MILP) to solve this. For the squared deviation problem with more than two nurses, we propose a Mixed-Integer Non-Linear Programming (MINLP) model and a Constraint Programming (CP) model. The results of our extensive computational study show all models can solve large sized instances as long as the given schedule is feasible within nurse limits.
Keywords
- Health Care
- Programming, Mixed-Integer
- Scheduling
Status: accepted
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