Internet of Things Implementation for Monitoring Parameter In 3D Printing Manufacturing A Systematic Literature Review

Khakam Ma'ruf, Herianto Herianto, Widyastuti Widyastuti


Abstract


The rapid advancement of Industry 4.0 and the emergence of Industry 5.0 have accelerated the adoption of Internet of Things (IoT) technologies to improve process monitoring, operational efficiency, and product quality in 3D printing manufacturing. Therefore, this study aimed to systematically synthesize the existing empirical evidence concerning IoT implementation for parameter monitoring in additive manufacturing while identifying research trends, monitored parameters, enabling technologies, implementation benefits, current challenges, and future research directions. This study employed a Systematic Literature Review (SLR) following the PRISMA 2020 guidelines to ensure methodological rigor, transparency, and reproducibility throughout the review process. Literature searches were conducted in Scopus, Web of Science, ScienceDirect, SpringerLink, and Google Scholar, resulting in 2,184 publications, from which nineteen empirical studies published between January 2021 and June 2026 satisfied all eligibility criteria and were included in the qualitative synthesis. The findings demonstrate that IoT-enabled monitoring systems predominantly integrate smart sensors, embedded controllers, wireless communication protocols, cloud computing platforms, and real-time monitoring dashboards to continuously supervise critical manufacturing parameters, including nozzle temperature, build plate temperature, humidity, vibration, filament condition, energy consumption, and machine status. Across the reviewed studies, IoT implementation consistently improved process stability, printing accuracy, predictive maintenance, manufacturing efficiency, energy optimization, product quality, and production traceability while reducing material waste and machine downtime. The review also reveals an increasing convergence between IoT and emerging technologies such as Artificial Intelligence, Machine Learning, Edge Computing, and Digital Twin, although challenges related to interoperability, cybersecurity, communication latency, scalability, sensor calibration, and industrial-scale implementation remain significant. In conclusion, IoT-enabled parameter monitoring has become a strategic technological foundation for intelligent, autonomous, and sustainable 3D printing manufacturing, providing valuable guidance for future smart manufacturing research and industrial implementation.

Keywords


Additive Manufacturing; Internet of Things; Parameter Monitoring; Smart Manufacturing; Systematic Literature Review

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References


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DOI: https://doi.org/10.30743/jet.v11i3.14235

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