HYBRID SIMULATION IN THE CONTEXT OF INDUSTRY 4.0: A SCOPING STUDY
DOI:
https://doi.org/10.56238/arev8n4-018Keywords:
Hybrid Simulation, Discrete Event Simulation, Agent-Based Simulation, System Dynamics, Industry 4.0Abstract
Simulation techniques can be integrated to address complex applications within the context of Industry 4.0. Among these techniques are discrete event simulation, agent-based modeling and simulation, and system dynamics. This research aims to identify, through a scoping study, the links, applications, characteristics, and trends of hybrid simulation in the context of Industry 4.0. To this end, the methodology is grounded in the hypothetical-deductive perspective, adopting a qualitative research approach and employing the scoping study procedure. The research involved the analysis of twenty-six studies covering different areas, such as manufacturing, supply chains, energy systems, and urban areas, with a focus on the implementation of hybrid models that combine discrete, continuous, and agent-based simulation methodologies. The main results reveal that hybrid simulation is a versatile and effective tool for monitoring, control, and optimization of complex systems, promoting greater accuracy and agility in decision-making. Furthermore, this technique facilitates the development of digital twins, which are essential for the intelligent management of resources and processes in Industry 4.0. The conclusions indicate that integrating different simulation models may constitute a central strategy to support technological innovation, promote industrial sustainability, and strengthen business competitiveness in the digital era, offering solutions adaptable to the demands of an increasingly dynamic and complex environment.
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