scholarly journals Impact of Prioritization on the Outpatient Queuing System in the Emergency Department with Limited Medical Resources

Symmetry ◽  
2019 ◽  
Vol 11 (6) ◽  
pp. 796 ◽  
Author(s):  
Ao Zhang ◽  
Xiaomin Zhu ◽  
Qian Lu ◽  
Runtong Zhang
Keyword(s):  
Emergency Department ◽  
Emergency Services ◽  
Service System ◽  
Queuing System ◽  
Hospital Service ◽  
Key Factors ◽  
Queuing Model ◽  
Medical Resources ◽  
Proposed Model

The emergency department has an irreplaceable role in the hospital service system because of the characteristics of its emergency services. In this paper, a new patient queuing model with priority weight is proposed to optimize the management of emergency department services. Compared with classical queuing rules, the proposed model takes into consideration the key factors of service and the first-come-first-served queuing rule in emergency services. According to some related queuing indicators, the optimization of emergency services is discussed. Finally, a case study and some compared analysis are conducted to illustrate the practicability of the proposed model.

A maximal covering facility location model for emergency services within an M (t)/M/m/m queuing system

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Iman Bahrami ◽  
Roya M. Ahari ◽  
Milad Asadpour
Keyword(s):  
Facility Location ◽  
Emergency Services ◽  
Queuing System ◽  
Location Model ◽  
Computational Time ◽  
Nsga Ii ◽  
Content Type ◽  
Maximal Covering ◽  
Proposed Model

Purpose In emergency services, maximizing population coverage with the lowest cost at the peak of the demand is important. In addition, due to the nature of services in emergency centers, including hospitals, the number of servers and beds is actually considered as the capacity of the system. Hence, the purpose of this paper is to propose a multi-objective maximal covering facility location model for emergency service centers within an M (t)/M/m/m queuing system considering different levels of service and periodic demand rate. Design/methodology/approach The process of serving patients is modeled according to queuing theory and mathematical programming. To cope with multi-objectiveness of the proposed model, an augmented ε-constraint method has been used within GAMS software. Since the computational time ascends exponentially as the problem size increases, the GAMS software is not able to solve large-scale problems. Thus, a NSGA-II algorithm has been proposed to solve this category of problems and results have been compared with GAMS through random generated sample problems. In addition, the applicability of the proposed model in real situations has been examined within a case study in Iran. Findings Results obtained from the random generated sample problems illustrated while both the GAMS software and NSGA-II almost share the same quality of solution, the CPU execution time of the proposed NSGA-II algorithm is lower than GAMS significantly. Furthermore, the results of solving the model for case study approve that the model is able to determine the location of the required facilities and allocate demand areas to them appropriately. Originality/value In the most of previous works on emergency services, maximal coverage with the minimum cost were the main objectives. Hereby, it seems that minimizing the number of waiting patients for receiving services have been neglected. To the best of the authors’ knowledge, it is the first time that a maximal covering problem is formulated within an M (t)/M/m/m queuing system. This novel formulation will lead to more satisfaction for injured people by minimizing the average number of injured people who are waiting in the queue for receiving services.

scholarly journals ANALISIS METODE BAYESIAN PADA SISTEM ANTREAN RAWAT JALAN DI RSUP Dr. KARIADI DENGAN DISTRIBUSI SAMPEL POISSON DAN GEOMETRIK

2021 ◽  
Vol 10 (3) ◽  
pp. 413-422
Author(s):  
Nur Azizah ◽  
Sugito Sugito ◽  
Hasbi Yasin
Keyword(s):  
Internal Medicine ◽  
Posterior Distribution ◽  
Prior Distribution ◽  
Bayesian Method ◽  
Likelihood Function ◽  
Queuing System ◽  
Hospital Service ◽  
Queuing Model ◽  
Sample Distribution ◽  
New Information

Hospital service facilities cannot be separated from queuing events. Queues are an unavoidable part of life, but they can be minimized with a good system. The purpose of this study was to find out how the queuing system at Dr. Kariadi. Bayesian method is used to combine previous research and this research in order to obtain new information. The sample distribution and prior distribution obtained from previous studies are combined with the sample likelihood function to obtain a posterior distribution. After calculating the posterior distribution, it was found that the queuing model in the outpatient installation at Dr. Kariadi Semarang is (G/G/c): (GD/∞/∞) where each polyclinic has met steady state conditions and the level of busyness is greater than the unemployment rate so that the queuing system at Dr. Kariadi is categorized as good, except in internal medicine poly. 

Modeling Queue Service System in Pedestrian Simulation

2011 ◽  
Vol 187 ◽  
pp. 1-6 ◽  
Author(s):  
De Wei Li ◽  
Bao Ming Han
Keyword(s):  
Large Scale ◽  
Service System ◽  
Safety Control ◽  
Large Scale Systems ◽  
Queue System ◽  
Proposed Model ◽  
Machine Layout ◽  
Pedestrian Simulation ◽  
Grid Based

Pedestrian simulation is widely used on the assessment of facility design and crowd safety control. It proposed a grid-based model of queue simulation system considering human physiology and psychology. Both logic queue system and animation queue system are modeled separately. Deadlock deal mechanism is designed. The proposed model established a good interface between the pedestrian behavior, queue system and animation. It can reproduce phenomenon like traffic shock wave effectively. A case study is shown by simulation of ticket vendor machine layout assessment in Beijing South Railway Station. It concluded that the model is effective and adapted to large scale systems.

scholarly journals A Queuing Network Based Optimization Model for Calculating Capacity of Subway Station

2017 ◽  
Vol 2017 ◽  
pp. 1-7
Author(s):  
Hanchuan Pan ◽  
Zhigang Liu
Keyword(s):  
Optimization Model ◽  
Subway Station ◽  
Queuing Model ◽  
Selection Probability ◽  
Evaluation Indexes ◽  
State Dependent ◽  
Decision Variables ◽  
Proposed Model ◽  
Shanghai Metro

Capacity of subway station is an important factor to ensure the safety and improve the transportation efficiency. In this paper, based on the M/G/C/C state-dependent queuing model, a probabilistic selection optimization model is proposed to assess the capacity of the station. The goal of the model is to maximize the output rate of the station, and the decision variables of the model are the selection results of the passengers. Finally, this paper takes a subway station of Shanghai Metro as a case study and calculates the optimal selection probability. The proposed model could be used to analyze the average waiting time, congestion probability, and other evaluation indexes; at the same time, it verifies the validity and practicability of the model.

Fatal poisoning with 2,4-Dinitrophenol: learning via case study

2020 ◽  
Vol 12 (2) ◽  
pp. 1-6
Author(s):  
Matthew Dominic Newport ◽  
Tarek Said
Keyword(s):  
Emergency Department ◽  
Weight Loss ◽  
Emergency Services ◽  
Human Consumption ◽  
Cardiovascular Collapse ◽  
Fatal Poisoning ◽  
Prompt Treatment ◽  
The Us ◽  
The Uk

2,4-Dinitrophenol (DNP) is an industrial chemical. It is illegal to sell it for human consumption in countries including the UK and the US. However, as DNP is available illegally online, accidental or deliberate DNP poisoning may be seen in people using it for weight loss or bodybuilding. Aggressive, multidisciplinary medical management is required to manage the ensuing hyperthermia, respiratory failure, cardiovascular collapse and multi-organ failure; there is a high risk of cardiac arrest. Emergency services should be vigilant in both initiating prompt treatment and alerting the receiving emergency department as well as taking precautions to minimise their own exposure. This case report concerns a deliberate, fatal DNP poisoning and considers DNP's history, resurgence and toxicity management.

Correlation Degree Model of Urban Signalized Intersection Group Based on Turning Flows

2014 ◽  
Vol 641-642 ◽  
pp. 839-847
Author(s):  
Qian Zhang ◽  
Xiu Cheng Guo ◽  
Hao Liang
Keyword(s):  
Correlation Model ◽  
Key Factors ◽  
Contributing Factors ◽  
Signal Coordination ◽  
Road Section ◽  
Proposed Model ◽  
Correlation Degree ◽  
Spatial And Temporal Heterogeneity ◽  
Relationship Of

This article analyzes the limitations of calculating correlation degree based on road sections and built correlation model based on the turning flow of the intersection. In addition to the traditional contributing factors, the model considers two other key factors——turning proportion of intersections and signal phase. Therefore, the proposed model can reflect the spatial and temporal heterogeneity between each turning flows on a road section. A case study to four actual intersections is conducted to test the effectiveness of this model. The results show that the proposed correlation model can better descript the relationship of adjunct intersections and find the critical route for signal coordination.

scholarly journals A GIS-based model to estimate flood consequences and the degree of accessibility and operability of strategic emergency response structures in urban areas

2014 ◽  
Vol 14 (11) ◽  
pp. 2847-2865 ◽  
Author(s):  
R. Albano ◽  
A. Sole ◽  
J. Adamowski ◽  
L. Mancusi
Keyword(s):  
Risk Reduction ◽  
Urban Area ◽  
Emergency Response ◽  
Urban Areas ◽  
Emergency Services ◽  
Urban System ◽  
Decision Makers ◽  
Practical Applications ◽  
Proposed Model

Abstract. Efficient decision-making regarding flood risk reduction has become a priority for authorities and stakeholders in many European countries. Risk analysis methods and techniques are a useful tool for evaluating costs and benefits of possible interventions. Within this context, a methodology to estimate flood consequences was developed in this paper that is based on GIS, and integrated with a model that estimates the degree of accessibility and operability of strategic emergency response structures in an urban area. The majority of the currently available approaches do not properly analyse road network connections and dependencies within systems, and as such a loss of roads could cause significant damages and problems to emergency services in cases of flooding. The proposed model is unique in that it provides a maximum-impact estimation of flood consequences on the basis of the operability of the strategic emergency structures in an urban area, their accessibility, and connection within the urban system of a city (i.e. connection between aid centres and buildings at risk), in the emergency phase. The results of a case study in the Puglia region in southern Italy are described to illustrate the practical applications of this newly proposed approach. The main advantage of the proposed approach is that it allows for defining a hierarchy between different infrastructure in the urban area through the identification of particular components whose operation and efficiency are critical for emergency management. This information can be used by decision-makers to prioritize risk reduction interventions in flood emergencies in urban areas, given limited financial resources.

scholarly journals Customer Satisfaction Assessment of E-Supply Chain Quality in Online Shopping: A Case Study

2020 ◽  
Author(s):  
Maryam Abdirad ◽  
Krishna Krishnan
Keyword(s):  
Supply Chain ◽  
Customer Satisfaction ◽  
Structural Equation ◽  
Online Shopping ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Key Factors ◽  
Proposed Model

The purpose of this study is to examine the influence of Services Quality (SQ) of E-Supply Chain (E-SC) on customer satisfaction (CS) in online shopping. After a comprehensive review of the literature, the key factors of E-SC, CS, and SQ identification were selected. Then, the proposed conceptual model was presented. To validate this model, the data was collected through a survey of 150 respondents to diagnose customers’ satisfaction including online customers of “Digikala” online websites in Iran. The model was examined based on the partial least square-structural (PLS). Sample data was analyzed using SPSS21 and PLS. The proposed model was validated using factor analysis and structural equation modeling techniques. The results indicated that E-supply chain management(E-SCM) has a direct impact on CS. The effect of SQ is also confirmed. There is a positive and significant relationship between E-SCM and CS, E-SCM and SQ, and also, SQ and CS (P> 0.05).

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