@article{Davodabadi_Daneshian_Saati_Razavyan_2021, title={Prioritization of Patients in ICU: Composite Approach of Multiple-Criteria Decision-Making and Discrete Event Simulation}, volume={18}, url={https://bjopm.org.br/bjopm/article/view/975}, DOI={10.14488/BJOPM.2021.008}, abstractNote={<p><strong>Goal:</strong> This article aims to present a systematic approach to improve the resource allocation and human queues prioritization patterns.</p> <p><strong>Design / Methodology / Approach: </strong>To achieve such a purpose, effective criteria using a fuzzy-Delphi method, and subject-related researchers’ views were obtained. Utilizing the Analytic Network Process method, the weights of each criterion was measured. Then, considering the established weights and using a fuzzy-TOPSIS method, a prioritization system via Discrete Event Simulation was developed.</p> <p><strong>Results: </strong>Results indicate that the established approach properly improved the performance of the prioritization system in terms of resources and facilities allocation in neurology’s ICUs.</p> <p><strong>Limitations of the investigation: </strong>A drawback of this research can be in states of emergency which limits the options at hand and the criteria proposed may set a drawback on the aim of the study.</p> <p><strong>Practical implications: </strong>The results show that the proposed model can modify patient entry based on multiple criteria in terms of productivity and social justice in the patient queuing strategy.</p> <p><strong>Originality / Value: </strong>The contribution of this research is threefold: the literature has been reviewed to conclude the criteria concerning decisions around ICUs, the concluded criteria filtered through an expert panel which can be relied based on the method, a real application of the steps proposed is presented which allows comparing the accuracy and efficiency of the decisions made in the hospitals.</p>}, number={1}, journal={Brazilian Journal of Operations & Production Management}, author={Davodabadi, Afsaneh and Daneshian, Behrooz and Saati, Saber and Razavyan, Shabnam}, year={2021}, month={Mar.}, pages={1–21} }