The exponential expansion of simulation in research

Powers, Matthew J.; Sanchez, Susan M.; Lucas, Thomas W.

doi:10.1109/wsc.2012.6465125

Cited by 9 publications

(8 citation statements)

References 18 publications

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“…Modern simulators provide an integrated user-friendly development environment along with major input analysis, verification & validation, design of experiments, output analysis, and animation capabilities. Due to the exponential growth of computing capabilities, "simulation has transformed from its beginnings as a brute-force numerical integration method into an attractive and sophisticated option for decision makers" [4].…”

Section: Simulation For Dynamic Analysismentioning

confidence: 99%

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A Simulation-Based Analysis of a Gas Filling Process

Ramos¹,

Ferreira²,

Lopes³

et al. 2016

dtetr

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Abstract. Simulation models are a powerful engineering tool to analyze the performance of complex systems enabling the comparison of different scenarios and the evaluation of a considerable set of dynamic key performance indicators. This dynamic evaluation supports decision-making by helping operations managers to compare options and to choose the best course of action. This work presents a real-world industry case study illustrating the advantages of using simulation to analyze the current system and evaluate different scenarios of operation. The case study refers to a gas filling process which combines a continuous part (gas tanks' operation) with a discrete one (filling of gas into the cylinders). The mishmash of continuous and discrete operations is a challenge for modelling & simulation, involving a combined approach not always easy to accomplish. Results lead to the conclusion that the company is able to keep the production levels while reducing the number of dedicated tanks, thus opening up the possibility of exploring other business opportunities.

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Section: Simulation For Dynamic Analysismentioning

confidence: 99%

“…As [4] state, "for many complex real world problems requiring complex models, simulation will increasingly be the tool of first resort".…”

Section: Simulation For Dynamic Analysismentioning

confidence: 99%

A Simulation-Based Analysis of a Gas Filling Process

Ramos¹,

Ferreira²,

Lopes³

et al. 2016

dtetr

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“…The larger scientific community is embracing this new reality. Over the last 60 years, a variety of digital libraries show dramatic growth in the number of articles containing “simulation” as a keyword . To see how much of this is due to a shift in modeling preferences, rather than an overall increase in the number of journal articles, the simulation trends were compared with those of “linear programming” and “optimization”—two other operations‐research methods that also benefit from more powerful and affordable processing capabilities.…”

Section: Advances In Simulation Technologiesmentioning

confidence: 99%

“…To see how much of this is due to a shift in modeling preferences, rather than an overall increase in the number of journal articles, the simulation trends were compared with those of “linear programming” and “optimization”—two other operations‐research methods that also benefit from more powerful and affordable processing capabilities. In all cases, the growth of simulation‐related articles is more dramatic than the growth of articles related to linear programming and optimization .…”

Section: Advances In Simulation Technologiesmentioning

confidence: 99%

Changing the paradigm: Simulation, now a method of first resort

Anderson

2015

Naval Research Logistics

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Decades ago, simulation was famously characterized as a "method of last resort," to which analysts should turn only "when all else fails." In those intervening decades, the technologies supporting simulation-computing hardware, simulationmodeling paradigms, simulation software, design-and-analysis methods-have all advanced dramatically. We offer an updated view that simulation is now a very appealing option for modeling and analysis. When applied properly, simulation can provide fully as much insight, with as much precision as desired, as can exact analytical methods that are based on more restrictive assumptions. The fundamental advantage of simulation is that it can tolerate far less restrictive modeling assumptions, leading to an underlying model that is more reflective of reality and thus more valid, leading to better decisions.

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“…La simulación es una técnica que permite describir y analizar el comportamiento de un sistema real, en virtud de detectar comportamientos emergentes y/o utilizar las salidas de información para apoyar el diseño y mejora de dicho sistema. En general, esta técnica es utilizada cuando: i) resulta muy difícil (o incluso imposible) desarrollar un modelo analítico para representar el sistema, ii) el sistema posee variables aleatorias, iii) la dinámica del sistema es compleja y produce comportamientos emergentes, o iv) el objetivo es observar el comportamiento del sistema en un período de tiempo dado (Powers, Sanchez, & Lucas, 2012;Rainey & Tolk, 2015;. En cualquier caso, el uso de técnicas de simulación provee una herramienta de soporte a la toma de decisiones tanto a nivel de diseño (es decir, en una etapa previa a la construcción del sistema) como a nivel operativo (por ejemplo, probando diferentes políticas de funcionamiento antes de su aplicación sobre el sistema real).…”

Section: Introductionunclassified

Nuevos Aportes de las Tecnologías de Información para el Desarrollo de Simulación Distribuida

Sarli

Blas

Gonnet

2020

risti

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Resumen: Se entiende por simulación al proceso por medio del cual se representa, reproduce o imita el comportamiento observable de un proceso o sistema real a lo largo del tiempo y el espacio. La simulación distribuida tiene la capacidad de acelerar la ejecución de un único modelo, vincular y reutilizar múltiples modelos para simular modelos más grandes y acelerar la ejecución de etapas de experimentación. En este contexto, la construcción de simulaciones distribuidas ha mejorado en los últimos años gracias al surgimiento de nuevas tecnologías de la información. En este artículo se describen los principios, modos de trabajo y enfoques de administración de tiempo asociados a esta técnica junto con las herramientas de software que, en la actualidad, brindan soporte a su aplicación. Además, se presenta una revisión bibliográfica que evidencia el crecimiento (y la importancia) de su uso como técnica de estudio en diferentes dominios.Palabras-clave: computación distribuida y paralela; gestión del tiempo.

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The exponential expansion of simulation in research

Cited by 9 publications

References 18 publications

A Simulation-Based Analysis of a Gas Filling Process

A Simulation-Based Analysis of a Gas Filling Process

Changing the paradigm: Simulation, now a method of first resort

Nuevos Aportes de las Tecnologías de Información para el Desarrollo de Simulación Distribuida

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