Integrating digital twins in metal sink factories: A pathway to smart manufacturing
Vassilios KAPPATOS, Loukas ATHANASAKOS, Alkiviadis Tromaras, Agathoklis KRIMPENIS
Abstract. This study presents the development and validation of a digital twin for the production line of monoblock sinks. The digital twin was created using the AnyLogic simulation platform, integrating both 2D and 3D environments to replicate the factory’s operations. The model simulates the movement of workers and machinery across key stations in the production process, providing detailed insights into resource availability, machine usage, and potential bottlenecks. Validation of the model was conducted through a comparison of simulated production rates with real-world data for key production stations. The results demonstrated a high degree of accuracy, with discrepancies between simulated and actual production times within a few seconds. The digital twin offers a powerful tool for experimentation and optimization, enabling adjustments in process times, workforce allocation, and equipment utilization. This approach not only enhances production efficiency but also provides a reliable platform for future decision-making and process improvements.
Keywords
Digital Twin, Monoblock Sink Production, Simulation Modeling, Production Optimization, Manufacturing Process Validation
Published online 12/10/2024, 8 pages
Copyright © 2024 by the author(s)
Published under license by Materials Research Forum LLC., Millersville PA, USA
Citation: Vassilios KAPPATOS, Loukas ATHANASAKOS, Alkiviadis Tromaras, Agathoklis KRIMPENIS, Integrating digital twins in metal sink factories: A pathway to smart manufacturing, Materials Research Proceedings, Vol. 46, pp 412-419, 2024
DOI: https://doi.org/10.21741/9781644903377-52
The article was published as article 52 of the book Innovative Manufacturing Engineering and Energy
Content from this work may be used under the terms of the Creative Commons Attribution 3.0 license. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
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