scholarly journals How Can Hybrid Simulation Support Organizations in Assessing COVID-19 Containment Measures?

Healthcare ◽  
2021 ◽  
Vol 9 (11) ◽  
pp. 1412
Author(s):  
Chiara Cimini ◽  
Giuditta Pezzotta ◽  
Alexandra Lagorio ◽  
Fabiana Pirola ◽  
Sergio Cavalieri
Keyword(s):  
Discrete Event ◽  
Hybrid Simulation ◽  
Simulation Models ◽  
Indoor Environments ◽  
University Campus ◽  
Agent Based ◽  
Event Simulation ◽  
Support Organizations ◽  
Containment Measures

Simulation models have always been an aid in epidemiology for understanding the spread of epidemics and evaluating their containment policies. This paper illustrates how hybrid simulation can support companies in assessing COVID-19 containment measures in indoor environments. In particular, a Hybrid Simulation (HS) is presented. The HS model consists of an Agent-Based Simulation (ABS) to simulate the virus contagion model and a Discrete Event Simulation (DES) model to simulate the interactions between flows of people in an indoor environment. Compared with previous works in the field of simulation and COVID-19, this study provides the possibility to model the specific behaviors of individuals moving in time and space and the proposed HS model could be adapted to several epidemiological conditions (just setting different parameters in the agent-based model) and different kinds of facilities. The HS approach has been developed and then successfully tested with a real case study related to a university campus in northern Italy. The case study highlights the potentials of hybrid simulation in assessing the effectiveness of the containment measures adopted during the period under examination in the pandemic context. From a managerial perspective, this study, exploiting the complementarity of the ABM and DES approaches in a HS model, provides a complete and usable tool to support decision-makers in evaluating different contagion containment measures.

Discrete-Event Simulation Models for Assessing Incidents in Railway Systems

2013 ◽  
pp. 83-96
Author(s):  
Álvaro García Sánchez ◽  
Miguel Ortega-Mier
Keyword(s):  
Discrete Event Simulation ◽  
Discrete Event ◽  
Simulation Models ◽  
Modular Approach ◽  
Railway Systems ◽  
Event Simulation ◽  
Discrete Event Simulation Model ◽  
Building Models ◽  
Passenger Behavior

This paper presents a discrete event simulation model developed with a commercial environment. A modular approach is adopted, which facilitates building models for different railway systems. A key feature of this simulator is that it simultaneously models train movements and passenger behavior. The simulator has been used to assess two different policies when short incidents occur. Incidents are characterized by different factors, which are analyzed for both policies. A case-study is presented based on a subsystem of the commuter train network of the province of Madrid in Spain.

Modelling and simulation of a fire department’s response to emergency incidents

2018 ◽  
Author(s):  
Adriano O. Solis ◽  
Jenaro Nosedal-Sánchez ◽  
Ali Asgary ◽  
Francesco Longo ◽  
Beatrice Zaccaro
Keyword(s):  
Simulation Model ◽  
Discrete Event ◽  
Fire Department ◽  
Simulation Models ◽  
Modelling And Simulation ◽  
Fire Departments ◽  
Simulation Experiments ◽  
Agent Based ◽  
Event Simulation ◽  
Principal Elements

"After statistical analysis of the database of a fire department covering eight years of consecutive incident records from January 2009 to December 2016, we developed a modelling and simulation (M&S) approach that could be replicated for fire departments across Canada. Our M&S framework involved two different simulation models running on separate platforms: (i) an Incident Generation Engine, which simulates the ‘arrival’ of emergency incidents, and (ii) a Response Simulation Model. The first model is a discrete event simulation model using CPNTools 4.0, generating inputs for the second model, which is an agent-based simulation model developed using AnyLogic. We discuss the principal elements of the two simulation models, and report on findings from our simulation experiments."

Discrete-event simulation and agent-based modeling in the tasks of the school informatics course

2020 ◽  
Vol 1 (9) ◽  
pp. 4-13
Author(s):  
N. V. Klimina ◽  
I. A. Morozov
Keyword(s):  
Extracurricular Activities ◽  
Discrete Event ◽  
Simulation Models ◽  
Agent Based Modeling ◽  
Agent Based Simulation ◽  
Agent Based ◽  
Event Simulation ◽  
Cellular Environment ◽  
Scope Of Application ◽  
Biological Simulation

In order to study processes and phenomena, it is necessary to create their models. The most interesting and valuable for the analysis of current situations are models that describe processes as if they were happening in reality. These are the so-called simulation models. The scope of application of simulation models is extensive. The most in demand are economic, sociological and biological simulation models. The relevance of simulation is obvious, and it is natural that the theme of simulation is present in the content of the school informatics course. The article provides guidelines for studying the basics of modeling in a school informatics course related to the creation and research of discrete-event and agent-based simulation models. Examples of tasks recommended for consideration in the 9–11th grades at informatics lessons or in extracurricular activities are given, these are task based on the information-cybernetic approach, implemented in the PascalABC environment, and the task using a cellular automaton, implemented in the Cellular environment.

EVALUATION OF SIMULATION TECHNIQUES FOR MODELING PROGRESSION OF CONSTRUCTION CLAIMS

2018 ◽  
Vol 5 (1) ◽  
Author(s):  
Mohammad Barakat ◽  
Hiam Khoury ◽  
Mohamed-Asem Abdul-Malak
Keyword(s):  
Construction Projects ◽  
Discrete Event ◽  
Hybrid Approach ◽  
Simulation Models ◽  
Complex Problem ◽  
Weak Links ◽  
Agent Based ◽  
Event Simulation ◽  
Simulation Techniques ◽  
Potential Applicability

The unstructured and dynamic nature of construction projects and the on-site work complexities have been inevitably leading to claims. These evolve according to a staged mechanism set forth in the adopted conditions of contracts. More specifically, claims might progress expeditiously or drag depending on the nature of the applied mechanism and the behavior and interaction among contractual parties. As such, this complex problem of claim progression, which entails a lot of parameters and variables, is addressed in detail in this paper by resorting to three simulation techniques namely: (1) Discrete-Event Simulation (DES), (2) Agent-Based Modeling (ABM), and (3) System Dynamics (SD). The purpose behind this study is two-fold: (1) capturing and visualizing, through three different simulation models, the dynamic and interaction among the different entities as claims are progressing and defining the weak links hindering the efficiency improvement of such a process, and (2) comparing DES, ABM, and SD simulation approaches, using choose-by-advantage technique, and evaluating the advantages and drawbacks of each when studying the progression of claims. Results of all approaches are presented and analyzed followed by a discussion of the effectiveness of each simulation technique and the potential applicability of a hybrid approach in modeling the progression of claims.

Discrete-Event Simulation Models for Assessing Incidents in Railway Systems

2011 ◽  
Vol 4 (2) ◽  
pp. 1-14 ◽  
Author(s):  
Álvaro García Sánchez ◽  
Miguel Ortega-Mier ◽  
Roberto Arranz
Keyword(s):  
Discrete Event Simulation ◽  
Discrete Event ◽  
Simulation Models ◽  
Railway Systems ◽  
Event Simulation ◽  
Discrete Event Simulation Model ◽  
Building Models ◽  
Passenger Behavior ◽  
Commercial Environment

This paper presents a discrete event simulation model developed with a commercial environment. A modular approach is adopted, which facilitates building models for different railway systems. A key feature of this simulator is that it simultaneously models train movements and passenger behavior. The simulator has been used to assess two different policies when short incidents occur. Incidents are characterized by different factors, which are analyzed for both policies. A case-study is presented based on a subsystem of the commuter train network of the province of Madrid in Spain.

scholarly journals DVCompute Simulator for discrete event simulation

2021 ◽  
Vol 16 (93) ◽  
pp. 93-108
Author(s):  
David E. Sorokin ◽  
Keyword(s):  
Discrete Event Simulation ◽  
Large Scale ◽  
Distributed Simulation ◽  
Discrete Event ◽  
Simulation Models ◽  
General Purpose ◽  
Agent Based Modeling ◽  
Agent Based ◽  
Event Simulation ◽  
Programming Techniques

The author of this article represents his own work DVCompute Simulator, which is a collection of general-purpose programming libraries for discrete event simulation. The aim of the research was to create a set of simulators in the Rust language, efficient in terms of speed of execution, based on a unified approach and destined for different simulation modes. The simulators implement such modes as ordinary sequential simulation, nested simulation and distributed simulation. The article describes that nested simulation is related to Theory of Games, while distributed simulation can be used for running large-scale simulation models on supercomputers. It is shown how these different simulation modes can be implemented based on the single approach that combines many paradigms: the event-oriented paradigm, the process-oriented one, blocks similar to the GPSS language and even partially agent-based modeling. The author's approach is based on using the functional programming techniques, where the simulation model is defined as a composition of computations. The results of testing two modules are provided, where the modules support both the optimistic and conservative methods of distributed simulation.

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