Cited by 13Simulation and Modeling ApplicationsSimulation Techniques and ApplicationsDigital Transformation in Industry

Modeling and simulation: A comparative and systematic statistical review

Open access
Naciri, Lina, Gallab, Maryam, Soulhi, Aziz, Merzouk, Safae, Nardo, Mario Di·2024·Procedia Computer Science

Abstract

Modeling and simulation took a considerable part of both professional and educational fields during the past few years. With the emergence of new technologies, several modeling and simulation tools, languages and softwares were developed in different areas, and are even introduced in the educational program, which can only prove their importance, especially when it comes to decision-making process. Both concepts also took part of the industry 4.0 paradigm and can be used to test and validate the digital technologies to facilitate their implementation. This variety of modeling and simulation solutions lead us to the following challenging question: which solution to adopt for which case study? The purpose of this article is to set a list of the different modeling and simulation tools, languages and softwares through a statistical literature review, focusing on the industrial field, precisely when it comes to production flow optimization and waste elimination in accordance with lean manufacturing strategy, to determine the pros and cons of each modeling and simulation solution and therefore serve as a referential for companies to identify the best match to their need.

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Crossref · 10.1016/j.procs.2024.01.024

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  • El uso de la simulación con Flexsim permite predecir el comportamiento del sistema durante largos intervalos de tiempo, logrando identificar posibles cuellos de botella o puntos críticos del sistema.

    “Añadiendo el uso de la simulación con Flexsim se puede predecir el comportamiento del sistema durante largos intervalos de tiempo, logrando identificar posibles cuellos de botella o puntos críticos del sistema[19],[20].”

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Authors
Naciri, L., Gallab, M., Soulhi, A., Merzouk, S., & Nardo, M. D.
Affiliations
  • National School of Mineral Industry (MA)
  • École Marocaine des Sciences de l'Ingénieur (MA)
  • University of Naples Federico II (IT)
Corresponding author
Naciri, Lina
Venue
Procedia Computer Science
Publisher
Elsevier BV
Published
2024
Volume
232
Pages
242-253
ISSN
1877-0509 (ISSN-L)
OpenAlex
W4392975297
Cited by
11
References
37
Citations by year
2026: 5 · 2025: 5 · 2024: 1
FWCI
6.90
Type
conference paper
Language
en
Open access
Locations
Procedia Computer Science (publishedVersion, cc-by-nc-nd)
Topics
  • Physical Sciences › Engineering › Control and Systems Engineering › Simulation and Modeling Applications
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Simulation Techniques and Applications
  • Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
Keywords
modeling and simulation, simulation software, simulation languages, production flow optimization, waste elimination, lean manufacturing, Industry 4.0, decision-making, tool selection

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