ORAHS2024
Abstract Submission

213. Integrated shift and appointment template scheduling for a chemotherapy clinic

Contributed abstract in session FB-5: (Multi)Appointment /2, stream Regular talks.

Friday, 11:00-12:30
Room: Room S6

Authors (first author is the speaker)

1. Anders N. Gullhav
Department of Industrial Economics and Technology Management, Norwegian University of Science and Technology
2. Nadia Lahrichi
Mathematics and industrial engineering, CIRRELT, Polytechnique Montréal
3. Louis-Martin Rousseau
Mathematic and Industrial Engineering, École Polytechnique de Montréal

Abstract

Chemotherapy is one of the most common cancer treatment modalities and often administered in outpatient settings. The scheduling in chemotherapy clinics is complex as the treatment involves a series of appointments, following a medical protocol with strict temporal requirements. These include maximum wait time for the initial appointment and fixed intervals between subsequent appointments. Furthermore, the appointments require multiple resources and have varying durations and nurse-to-patient ratios. This paper addresses the tactical scheduling challenges in chemotherapy clinic operations, focusing on devising a cyclical weekly shift schedule and appointment template. The shift scheduling involves determining the start and end times for shifts and the number of nurses to assign to each shift. Simultaneously, the appointment template specifies when different appointment types are performed and aim to optimize the resource utilization while adhering to the requirements of the medical protocols. We propose a mixed integer programming (MIP) model for the integrated shift and appointment template scheduling. We validate our model using realistic data instances and evaluate the resulting schedules using simulation. Our findings demonstrate that these integrated schedules enhance clinic efficiency, serving as a valuable guiding tool in the online booking process.

Keywords

Status: accepted

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