Simulation-based optimization for resectorization in healthcare systems

Teymourifar, Aydin

doi:10.1080/17477778.2022.2152395

Cited by 6 publications

(3 citation statements)

References 75 publications

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“…This target is further compounded by the need to account for patients' geographic proximity to their chosen centers, which often leads to trade-offs. This matter is closely related to the concept of sectorization (Teymourifar, 2023). While sectorization has various interpretations in the literature (Liu et al, 2020;Teymourifar et al, 2020a;Teymourifar et al, 2021a,b,c), in our study, it specifically pertains to achieving workload and distance equilibriums within a healthcare system (Zhou et al, 2002).…”

Section: Introductionmentioning

confidence: 68%

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Assigning Patients to Healthcare Centers Using Dispatching Rules

Teymourifar,

Trindade

2023

Preprint

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This study proposes a model for the balanced assignment of patients to healthcare centers in a region. In the suggested model, it is supposed that patients want to go to the nearest center, which causes an imbalance in the workloads of resources between centers. This disproportion is undesirable not only for the centers but also for the patients. Thus, balancing assignments is targeted. This goal is expressed in a model with a multi-objective function. Since balancing is one of the main goals of the sectorization concept, we characterize the model based on it. Unlike studies in the literature, we do sectorization employing dispatching rules. This diminishes the problem's complexity and makes it suitable for solving actual, large, and dynamic problems. We simulated the system using the Rockwell Arena software. We consider the effect of different seasons, days, and hours on the system. The dispatching rule used for sectorization is optimized using the OptQuest software. The numerical results demonstrate that by optimizing the dispatching rule, it is possible to enhance the objective function significantly.

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Section: Introductionmentioning

confidence: 68%

“…Additionally, we fine-tune DRs to yield more optimal solutions. While simulation has been used in the past to tackle sectorization models (Teymourifar, 2023), our unique contribution lies in leveraging this technique to optimize DRs. We rigorously evaluate our results based on both the derived SO and MO functions.…”

Section: Introductionmentioning

confidence: 99%

Assigning Patients to Healthcare Centers Using Dispatching Rules

Teymourifar,

Trindade

2023

Preprint

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“…Although the results of DEMATEL and ISM reflect the interests of different stakeholders, they are subjective. In future studies, it is planned to define a utility function for the stakeholders to fill the deficiency [26]. Future research can focus on integrating DEMATEL with various methods and approaches to enhance analysis and decision making.…”

Section: Discussionmentioning

confidence: 99%

Using DEMATEL and ISM for Designing Green Public Policies Based on the System of Systems Approach

Teymourifar

Trindade

2023

Sustainability

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In this paper, we propose a novel approach to the development of green public policies. We emphasize the significance of the system of systems (SoSs) methodology, which concentrates on understanding and managing complex systems by contemplating their interdependencies and interactions as a single integrated system. Based on this perspective, we consider green public policy as a system interacting with the energy, health, pollutants, and economic systems of the SoSs. As a method of systematic structural analysis, we use both decision-making trial and evaluation laboratory (DEMATEL) and interpretive structural modeling (ISM) techniques to understand the relationships between the systems listed above. We provide a literature review on the application of these soft operation research (SOR) techniques. We note that SOR methods are suitable for the formulation of effective public policies. Using an example, we demonstrate the primary advantage of DEMATEL and ISM, which is the establishment of easily comprehendible causal relationships between the systems in the SoSs.

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Saldanha-da-Gama,

Wang

2024

International Series in Operations Research &Amp; Management Science

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Simulation-based optimization for resectorization in healthcare systems

Cited by 6 publications

References 75 publications

Assigning Patients to Healthcare Centers Using Dispatching Rules

Assigning Patients to Healthcare Centers Using Dispatching Rules

Using DEMATEL and ISM for Designing Green Public Policies Based on the System of Systems Approach

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