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Multi-Objective Simulation-Based Optimization for Effective Management of the Outpatient Chemotherapy Process

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journal contribution
submitted on 2024-09-01, 11:17 and posted on 2024-09-01, 11:18 authored by Majed Hadid, Adel Elomri, Oualid Jouini, Laoucine Kerbache, Ahmed Saleh, Anas Hamad

Outpatient chemotherapy departments' operational harmony depends on the proper strategic, tactical, and operational decisions. The integrated consideration of capacity dimensioning, resources planning, scheduling policy, appointment planning, scheduling, and resources-to-patients assignment can improve the outpatient chemotherapy process's (OCP) overall performance due to interdependencies. However, developing a comprehensive and stochastic OCP decision support system is complex. Thus, the planning, scheduling, and assignment problems are rarely addressed together. Therefrom, a multi-objective simulation-based optimization approach is proposed in this paper to handle the various OCP challenges. The proposed approach showed superior performance compared to a baseline using real data from an outpatient chemotherapy center.

Other Information

Published in: IFAC-PapersOnLine
License: https://creativecommons.org/licenses/by-nc-nd/4.0/
See article on publisher's website: https://dx.doi.org/10.1016/j.ifacol.2022.09.632

Funding

Qatar National Research Fund (NPRP12S-0219- 190108), An Operations Management Approach for the Improvement of Cancer Care Delivery in Qatar: Predictive Models, Analysis, and Pathways Optimization for Patients with Hematological Malignancies.

History

Language

  • English

Publisher

Elsevier

Publication Year

  • 2022

License statement

This Item is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Institution affiliated with

  • Hamad Bin Khalifa University
  • College of Science and Engineering - HBKU
  • Hamad General Hospital - HMC
  • National Center for Cancer Care and Research - HMC