Simulation software for smart manufacturing: a review

Modern manufacturing enterprises are faced with the challenges of increasing efficiency, adaptability, and integration of production processes in Industry 4.0. Discrete-event modeling and digital twins are key tools for optimizing production, planning, and decision-making. At the same time, choosing the optimal software remains difficult due to the various available platforms with different functionality. The article provides a systematic analysis of nine modern software programs for discrete-event modeling of production processes: (“FlexSim in Academia | FlexSim.” 2025. Accessed Aug 7. https://www.flexsim.com/academia/?utm), Tecnomatix Plant Simulation, Visual Components, ProModel for AutoCAD, iGrafx, Arena Simulation, Delmia, simul8, and Simio. The assessment was carried out in five key categories: technical, analytical, organizational, economic, and educational, which allows for a comprehensive description of the functionality and scope of each software. The study's results confirm the leading role of FlexSim as a universal tool that combines powerful analytical capabilities, high scalability, integration with corporate systems, and advanced support for educational and research initiatives. A comparison of the indicators of other platforms demonstrates their strengths in individual aspects, but in general, emphasizes the need to consider the specifics of the tasks of enterprises and educational institutions when choosing software. The data obtained is of practical importance for modeling specialists, engineers, production managers, and teachers, contributing to increasing the efficiency of decision-making and the development of digital twins in the context of modern industrial technologies.

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Publication Details

Journal
Discover Applied Sciences
Published
2025-12-08
DOI
https://doi.org/10.1007/s42452-025-08012-y
Citations
1
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
1.24
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article

Simulation software for smart manufacturing: a review

Vitalii Ivanov, Bohdan Haidabrus, Mykhailo Amelin
1 citations
Discover Applied Sciences
Digital Transformation in Industry
1.24
article

Simulation software for smart manufacturing: a review

Vitalii Ivanov, Bohdan Haidabrus, Mykhailo Amelin
article en
1 citations

Abstract

Modern manufacturing enterprises are faced with the challenges of increasing efficiency, adaptability, and integration of production processes in Industry 4.0. Discrete-event modeling and digital twins are key tools for optimizing production, planning, and decision-making. At the same time, choosing the optimal software remains difficult due to the various available platforms with different functionality. The article provides a systematic analysis of nine modern software programs for discrete-event modeling of production processes: (“FlexSim in Academia | FlexSim.” 2025. Accessed Aug 7. https://www.flexsim.com/academia/?utm), Tecnomatix Plant Simulation, Visual Components, ProModel for AutoCAD, iGrafx, Arena Simulation, Delmia, simul8, and Simio. The assessment was carried out in five key categories: technical, analytical, organizational, economic, and educational, which allows for a comprehensive description of the functionality and scope of each software. The study's results confirm the leading role of FlexSim as a universal tool that combines powerful analytical capabilities, high scalability, integration with corporate systems, and advanced support for educational and research initiatives. A comparison of the indicators of other platforms demonstrates their strengths in individual aspects, but in general, emphasizes the need to consider the specifics of the tasks of enterprises and educational institutions when choosing software. The data obtained is of practical importance for modeling specialists, engineers, production managers, and teachers, contributing to increasing the efficiency of decision-making and the development of digital twins in the context of modern industrial technologies.

Discover Applied SciencesVol. 8(1)
Seat (Spain) (ES), Technical University of Košice (SK), Riga Technical University (LV), Sumy State University (UA), Baltic International Academy (LV), WSB University (PL)
Openalex Percentile: Top 13%
Digital Transformation in Industry
1.24
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Simulation software for smart manufacturing: a review — Vitalii Ivanov, Bohdan Haidabrus, et al. · Discover Applied Sciences (2025) | TGRS Research Map | TGRS