Title: Operations planning in outpatient chemotherapy with hybrid simulation modelling

Authors: Mahmoud Heshmat; Amr B. Eltawil; Mohammed Abdelghany

Addresses: Department of Mechanical Design and Production Engineering, Faculty of Engineering, Assiut University, Egypt ' Industrial and Manufacturing Engineering, Egypt-Japan University of Science and Technology, New Borg El-Arab City, Alexandria 21934, Egypt ' Mechanical Engineering Department, Faculty of Engineering, Fayoum University, Egypt

Abstract: Outpatient chemotherapy clinics (OCCs) are a crucial medical units where cancer is diagnosed, and treatment is provided. However, they face planning and scheduling challenges. In this paper, two problems in OCCs are addressed: how to accurately compute the utilisation of the nurses, and the patient appointment scheduling problem. An agent-based simulation is used to simulate the nurse activities and thus the nurse utilisation is computed. A discrete event simulation model is developed to evaluate the performance of the current patient appointment practice. However, the resulted nurse utilisation could not be accurately computed. Therefore, a hybrid discrete event and agent-based simulation model is developed to simulate the whole system including the nurse activities. Moreover, the proposed simulation model is used to determine the best patient appointment scenario. The results can be used to accurately compute the nurse utilisation in the OCCs beside the other key performance indicators (KPIs) in OCCs.

Keywords: simulation; outpatient chemotherapy; discrete event simulation; DES; agent-based simulation; ABS; patient appointment scheduling.

DOI: 10.1504/IJSPM.2022.128277

International Journal of Simulation and Process Modelling, 2022 Vol.18 No.4, pp.296 - 303

Received: 12 Sep 2021
Received in revised form: 09 Sep 2022
Accepted: 09 Sep 2022
Published online: 16 Jan 2023 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article