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

Majed Hadid; Adel Elomri; Oualid Jouini; Laoucine Kerbache; Ahmed Saleh; Anas Hamad

doi:10.1016/j.ifacol.2022.09.632

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

Majed Hadid^*, Adel Elomri^*, Oualid Jouini, Laoucine Kerbache^*, Ahmed Saleh, Anas Hamad

^*Corresponding author for this work

CSE Engineering Management and Decision Sciences

Research output: Contribution to journal › Conference article › peer-review

1 Citation (Scopus)

Abstract

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.

Original language	English
Pages (from-to)	1639-1644
Number of pages	6
Journal	IFAC-PapersOnLine
Volume	55
Issue number	10
DOIs	https://doi.org/10.1016/j.ifacol.2022.09.632
Publication status	Published - 2022
Event	10th IFAC Conference on Manufacturing Modelling, Management and Control, MIM 2022 - Nantes, France Duration: 22 Jun 2022 → 24 Jun 2022

Keywords

artificial intelligence
blackbox optimization
cancer
decision making heuristic
multi objectives
oncology health care
outpatient chemotherapy
planning
scheduling
stochastic simulation based optimization

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10.1016/j.ifacol.2022.09.632

Cite this

@article{588ac424d21f400fa6c8e180969b6433,

title = "Multi-Objective Simulation-Based Optimization for Effective Management of the Outpatient Chemotherapy Process",

abstract = "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.",

keywords = "artificial intelligence, blackbox optimization, cancer, decision making heuristic, multi objectives, oncology health care, outpatient chemotherapy, planning, scheduling, stochastic simulation based optimization",

author = "Majed Hadid and Adel Elomri and Oualid Jouini and Laoucine Kerbache and Ahmed Saleh and Anas Hamad",

note = "Publisher Copyright: {\textcopyright} 2022 The Authors. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/); 10th IFAC Conference on Manufacturing Modelling, Management and Control, MIM 2022 ; Conference date: 22-06-2022 Through 24-06-2022",

year = "2022",

doi = "10.1016/j.ifacol.2022.09.632",

language = "English",

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pages = "1639--1644",

journal = "IFAC-PapersOnLine",

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TY - JOUR

T1 - Multi-Objective Simulation-Based Optimization for Effective Management of the Outpatient Chemotherapy Process

AU - Hadid, Majed

AU - Elomri, Adel

AU - Jouini, Oualid

AU - Kerbache, Laoucine

AU - Saleh, Ahmed

AU - Hamad, Anas

PY - 2022

Y1 - 2022

N2 - 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.

AB - 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.

KW - artificial intelligence

KW - blackbox optimization

KW - cancer

KW - decision making heuristic

KW - multi objectives

KW - oncology health care

KW - outpatient chemotherapy

KW - planning

KW - scheduling

KW - stochastic simulation based optimization

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U2 - 10.1016/j.ifacol.2022.09.632

DO - 10.1016/j.ifacol.2022.09.632

M3 - Conference article

AN - SCOPUS:85144519099

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VL - 55

SP - 1639

EP - 1644

JO - IFAC-PapersOnLine

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T2 - 10th IFAC Conference on Manufacturing Modelling, Management and Control, MIM 2022

Y2 - 22 June 2022 through 24 June 2022

ER -

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

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Keywords

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EX-QNRF-NPRPS-4: An Operations Management Approach for the Improvement of Cancer Care Delivery in Qatar: Predictive Models, Analysis, and Pathways Optimization for Patients with Hematological Malignancies.

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

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EX-QNRF-NPRPS-4: An Operations Management Approach for the Improvement of Cancer Care Delivery in Qatar: Predictive Models, Analysis, and Pathways Optimization for Patients with Hematological Malignancies.

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