Prioritization of Patients in ICU: Composite Approach of Multiple-Criteria Decision-Making and Discrete Event Simulation

  • Afsaneh Davodabadi Afsaneh Davodabadi, Department of Mathematics, Central Tehran Branch, Islamic Azad University, Tehran, Iran.
  • Behrooz Daneshian Behrooz Daneshian Department of Mathematics, Central Tehran Branch, Islamic Azad University, Tehran, Iran.
  • Saber Saati Saber Saati Department of Mathematics, North Tehran Branch, Islamic Azad University, Tehran, Iran.
  • Shabnam Razavyan Shabnam Razavyan, Department of Mathematics, South Tehran Branch, Islamic Azad University, Tehran, Iran.
Keywords: Hospital equipment allocation, Fuzzy set theory, Discrete Event Simulation, Fuzzy ANP, Fuzzy TOPSIS

Abstract

Goal: This article aims to present a systematic approach to improve the resource allocation and human queues prioritization patterns.

Design / Methodology / Approach: 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.

Results: 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.

Limitations of the investigation: 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.

Practical implications: 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.

Originality / Value: 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.

Author Biographies

Afsaneh Davodabadi, Afsaneh Davodabadi, Department of Mathematics, Central Tehran Branch, Islamic Azad University, Tehran, Iran.

Biographical notes: Afsaneh Davodabadi is a PHD student of operation research at Islamic Azad University (IAU) – Central Tehran Branch in Iran. She received her master in pplied mathematics at South Branch of IAU. Her research interests include data envelopment analysis, Fuzzy MCDM, Simulation.

Behrooz Daneshian, Behrooz Daneshian Department of Mathematics, Central Tehran Branch, Islamic Azad University, Tehran, Iran.

Biographical notes: Behrooz Daneshian is an Associate Professor of Mathematics department at Islamic Azad University (IAU) – Central Tehran Branch in Iran. He received his PhD in Applied mathematics at Science and Research Branch of IAU. His research interests include data envelopment analysis, Simulation and fuzzy programming. He has published in journals such as World applied sciences journal, Applied mathematical modeling, Australian Journal of basic and applied sciences, Optoelectronics and Advanced Materials – Rapid Communications, ISPACS, Journal of Expert System, Arabian Journal for Science and Engineering, among others.

Saber Saati, Saber Saati Department of Mathematics, North Tehran Branch, Islamic Azad University, Tehran, Iran.

Biographical notes: Saber Saati is an Associate Professor of Mathematics at Islamic Azad
University (IAU) –North Tehran Branch in Iran. He received his PhD in Operations Research at
Science and Research Branch of IAU in 2002. His research interests include data envelopment
analysis, fuzzy programming and fuzzy MADM. He has published in journals such as Journal of
Intelligent & Fuzzy Systems, Fuzzy Optimization and Decision Making, Neural Computing and
Applications, Measurement, Applied Mathematics and Computation, Iranian Journal of Fuzzy
Systems, Advance in Fuzzy Sets and Systems, Int. J. Mathematical Analysis, Applied
Mathematical Science, Journal of Industrial Engineering International, Australian Journal of
Basic and Applied Sciences and Journal of Applied Sciences, Mathematical Sciences, Applied
Soft Computing, etc

Shabnam Razavyan, Shabnam Razavyan, Department of Mathematics, South Tehran Branch, Islamic Azad University, Tehran, Iran.

Shabnam Razavyan is an Associate Professor in Mathematics department at the Islamic Azad University Tehran south Branch in Iran. Her teaching has been in operation research and data envelopment analysis (DEA). Her major research interests are multi objective programming and DEA. Her publications have appeared in several journals, including Journal of the Operational Research Society, Applied Mathematics and Computation, Applied Mathematical Modelling, Asia-Pacific Journal of Operational Research and Journal of the Operational Research Society of Japan, among others.

Published
2021-03-16
How to Cite
Davodabadi, A., Daneshian, B., Saati, S., & Razavyan, S. (2021). Prioritization of Patients in ICU: Composite Approach of Multiple-Criteria Decision-Making and Discrete Event Simulation. Brazilian Journal of Operations & Production Management, 18(1), 1-21. https://doi.org/https://doi.org/10.14488/BJOPM.2021.008
Section
Case study