Theoretical comparison of discrete‐event simulation and system dynamics

Brailsford, Sally C.

doi:10.1002/9781118762745.ch06

Cited by 75 publications

(101 citation statements)

References 9 publications

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“…It may provide us with optimized interventions to promote CHSs primary diagnosis, since it can set various levels of patient's visiting behaviour-influencing factors. It may improve the reliability of the model, by setting constraints according to the real world, for instance, increased population generating new demands and the available resource restricting medical service supplying [5][6][7][8][9]. The SD model is built with software Vensim 5.6a (USA, Ventana Systems, Inc.).…”

Section: Methodsmentioning

confidence: 99%

A System Dynamics Simulation Model of Hierarchical Medical Care System Reform in China

Zhang¹,

Liu²,

Yang³

et al. 2017

J Health Med Inform

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The hierarchical medical care system reform in China may lead to drastic changes of medical care utilizations distribution in different medical care subsystems. A medical care system dynamics model was constructed to simulate the intervention scenarios according to the reform measures, and to estimate changes of demands, utilizations distribution and reasonable resources allocation, in order to provide optimized intervention for decision-makers.

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Section: Methodsmentioning

confidence: 99%

A System Dynamics Simulation Model of Hierarchical Medical Care System Reform in China

Zhang¹,

Liu²,

Yang³

et al. 2017

J Health Med Inform

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“…In this study, the technique of discrete event simulation was applied (DES) [4]-by means of the Simul8 simulation software [5] in order to investigate the potential of applying simulating techniques in Healthcare.…”

Section: Introductionmentioning

confidence: 99%

Use of DES for the Quantitative Analysis of the Workflow of the Hypertension Center at the “Azienda Ospedaliera Universitaria Federico II” of Naples

Torri¹,

Pepino²,

Rovani³

et al. 2014

IJCTE

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Abstract-The healthcare sector is very complex and healthcare managers have difficulty in describing the behavior of these systems. Management tools used by the managers of healthcare facilities, Business Intelligence for example, can help them to find the most suitable management solution in order to achieve the objectives that have been defined during the business planning phase, but they fail to fully describe the real workflow. This paper aims to develop a new operating paradigm that permits an improved definition of the operation of a healthcare structure by means of the adoption of simulated models based on Discrete Event Simulation (DES) theory in order to study its behavior and to obtain quantitative information about its activities and its use of human resources. The structure under scrutiny was the Hypertension Center of the "Azienda Ospedaliera Universitaria Federico II" of Naples.Index Terms-Business process management, discrete event simulation, healthcare process analysis, simulation in healthcare.

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“…These types of systems can provide knowledge about the past, the present, and the future. Some interesting computer simulations include production systems (Huang et al 1983), weather forecasting (Johnson et al 1996), the big bang (Shavitt and Tankel 2004), flight (Jones et al 1999), health-care (Jun et al 10 1999;Brailsford and Hilton 2001), and disease spread (Harvey et al 2007). From this point forward, simulation will refer to computer simulation.…”

Section: Simulationmentioning

confidence: 99%

Integrated optimization and simulation models for the locomotive refueling system configuration problem

Verschelden¹,

Stamm²,

Easton³

2017

2017 Winter Simulation Conference (WSC)

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Locomotives in the U.S. use over 3 billion gallons of fuel each year and faster refueling can increase rail network capacity without the infrastructure cost associated with new terminals or tracks. This thesis introduces the locomotive refueling system configuration problem (LRSCP), which seeks to improve efficiency in refueling yards through new technologies or policies. This research also creates two new methods to solve LRSCP. Based on experimental results, solving either TRIP or SLIP and incorporating the optimal refueling policy improves railyard operations by 10 to 30%. This impact is statistically significant and increases the capacity of a railyard. Additionally, it impacts other important parameters such as time spent in the yard and the maximum queue for the railyard. Furthermore, there is a significant decrease in wasted time and an improvement to railyard efficiency.Implementing either method should increase a railyard's capacity and significantly increase revenue opportunities.iv

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Theoretical comparison of discrete‐event simulation and system dynamics

Cited by 75 publications

References 9 publications

A System Dynamics Simulation Model of Hierarchical Medical Care System Reform in China

A System Dynamics Simulation Model of Hierarchical Medical Care System Reform in China

Use of DES for the Quantitative Analysis of the Workflow of the Hypertension Center at the “Azienda Ospedaliera Universitaria Federico II” of Naples

Integrated optimization and simulation models for the locomotive refueling system configuration problem

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