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.
Highlights
Today, the issue of human queues management has emerged as vital to most or all aspects of human life
Other criteria related to social justice which are of cocern are constraint of patient for finding job, study, work and et., responsibility of patient about taking care of relatives and hardness of doing activity in case of not curing
The resource allocation planning is extremely challenging in healthcare systems
Summary
The issue of human queues management has emerged as vital to most or all aspects of human life. Before reducing waiting times in queues, the way the services are managed has a significant impact on customer satisfaction; managers seek to improve their performance (Zhou et al, 2018). The proper use of resources to meet the needs of the clients has turned out to be vital, which calls for a systematic decision-making process. This is especially important in the healthcare system due to the sensitivity and unique characteristics of service recipients. Long waiting times for patients in the queue and lack of proper management to prioritize patients for treatment can lead the situation to become critical or cause irretrievable issues.
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