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A modeling framework for the application of multi-paradigm simulation methods

Authors:

Konstantinos Mykoniatis,

Anastasia AngelopoulouAuthors Info & Claims

SIMULATION, Volume 96, Issue 1

Pages 55 - 73

https://doi.org/10.1177/0037549719843339

Published: 01 January 2020 Publication History

Abstract

Decisions about modeling and simulation (M&S) of real-world systems need to be evaluated prior to implementation. Discrete Event, System Dynamics, and Agent Based are three different modeling and simulation approaches widely applied to enhance decision-making of M&S of these systems. Combining and/or integrating these methods can provide solutions to a plethora of systems’ problems. However, current solutions and frameworks do not provide guidance for selecting and deploying M&S models. Hence, the aim of this work is to present a generic modeling framework for combining and/or integrating Discrete Event, System Dynamics, and Agent Based simulation approaches. The framework is termed multi-paradigm modeling framework (MPMF). In this paper, we describe the research methodology that was followed for the development of MPMF, the different phases of MPMF, and the generic relationships of forming and deploying multi-paradigm simulation models. Then we evaluate the framework by using it for the implementation of a universal task analysis simulation model (UTASiMo). The MPMF provided guidance on what methods need to be incorporated into the UTASiMo models, what information is exchanged among those models, and how these models are connected and interact with each other.

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Cited By

Abdelmegid MO’Sullivan MGonzález VWalker CPoshdar M(2022)A case study on the use of a conceptual modeling framework for construction simulationSimulation10.1177/0037549721105608798:5(433-460)Online publication date: 1-May-2022
https://dl.acm.org/doi/10.1177/00375497211056087
Mykoniatis KHarris G(2021)A digital twin emulator of a modular production system using a data-driven hybrid modeling and simulation approachJournal of Intelligent Manufacturing10.1007/s10845-020-01724-532:7(1899-1911)Online publication date: 1-Oct-2021
https://dl.acm.org/doi/10.1007/s10845-020-01724-5

Index Terms

A modeling framework for the application of multi-paradigm simulation methods
1. Computing methodologies
  1. Modeling and simulation
2. Software and its engineering

Index terms have been assigned to the content through auto-classification.

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cover image Simulation

Simulation Volume 96, Issue 1

Jan 2020

122 pages

ISSN:0037-5497

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© The Author(s) 2019.

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Society for Computer Simulation International

San Diego, CA, United States

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Published: 01 January 2020

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Cited By

Abdelmegid MO’Sullivan MGonzález VWalker CPoshdar M(2022)A case study on the use of a conceptual modeling framework for construction simulationSimulation10.1177/0037549721105608798:5(433-460)Online publication date: 1-May-2022
https://dl.acm.org/doi/10.1177/00375497211056087
Mykoniatis KHarris G(2021)A digital twin emulator of a modular production system using a data-driven hybrid modeling and simulation approachJournal of Intelligent Manufacturing10.1007/s10845-020-01724-532:7(1899-1911)Online publication date: 1-Oct-2021
https://dl.acm.org/doi/10.1007/s10845-020-01724-5

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