Enhancing Production Efficiency Through Digital Twin Simulation Scheduling

Flexible custom manufacturing is becoming increasingly important, and, in the near future, it will serve as a key method to counter growing competition and meet market demands across most industrial sectors. This situation necessitates the substantial reorganization of companies’ material and information flows, as traditional planning approaches focused on serial production and longer time horizons are gradually losing their effectiveness. An integrated digital twin system that unifies production and logistics planning is emerging as a promising solution. The proposed approach entails implementing a digital twin directly within custom manufacturing, enabling the continuous monitoring and real-time adjustment of production plans based on instant data from sensors and information systems. The system architecture is designed around multiple modules responsible for data collection and processing, scheduling, simulation, statistical analysis, and effective communication between the system and its users. By leveraging these components, the solution can flexibly adapt to any deviations or changes as they occur. Within the scope of this research, attention is devoted not only to the handling of dynamic and random data but also to the prioritization of individual orders. Equally emphasized is the role of intelligent communication tools, which promptly inform us about shifts in the production process and allow for rapid plan modifications to ensure the highest possible levels of efficiency and reliability.

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Publication Details

Journal
Applied Sciences
Published
2025-03-26
DOI
https://doi.org/10.3390/app15073637
Citations
5
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
6.21

Funders

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Enhancing Production Efficiency Through Digital Twin Simulation Scheduling

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5 citations
Applied Sciences
Digital Transformation in Industry
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article

Enhancing Production Efficiency Through Digital Twin Simulation Scheduling

Ladislav Papánek, Štefan Mozol, Martin Krajčovič, Lucia Mozolová, Patrik Grznár, Ivan Antoniuk, Milan Marčan
article en
5 citations

Abstract

Flexible custom manufacturing is becoming increasingly important, and, in the near future, it will serve as a key method to counter growing competition and meet market demands across most industrial sectors. This situation necessitates the substantial reorganization of companies’ material and information flows, as traditional planning approaches focused on serial production and longer time horizons are gradually losing their effectiveness. An integrated digital twin system that unifies production and logistics planning is emerging as a promising solution. The proposed approach entails implementing a digital twin directly within custom manufacturing, enabling the continuous monitoring and real-time adjustment of production plans based on instant data from sensors and information systems. The system architecture is designed around multiple modules responsible for data collection and processing, scheduling, simulation, statistical analysis, and effective communication between the system and its users. By leveraging these components, the solution can flexibly adapt to any deviations or changes as they occur. Within the scope of this research, attention is devoted not only to the handling of dynamic and random data but also to the prioritization of individual orders. Equally emphasized is the role of intelligent communication tools, which promptly inform us about shifts in the production process and allow for rapid plan modifications to ensure the highest possible levels of efficiency and reliability.

Applied SciencesVol. 15(7)
University of Žilina (SK)
Agentúra na Podporu Výskumu a Vývoja, Kultúrna a Edukacná Grantová Agentúra MŠVVaŠ SR, Vedecká Grantová Agentúra MŠVVaŠ SR a SAV
Openalex Percentile: Top 4%
Digital Transformation in Industry
6.21
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