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dtip 25(4):

Research Article

Assumptions for the Application of Internet of Things Solutions in a Smart Factory Demonstrator

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  • @ARTICLE{10.4108/dtip.11723,
        author={Marta Białek and Krzysztof Żywicki },
        title={Assumptions for the Application of Internet of Things Solutions in a Smart Factory Demonstrator},
        journal={EAI Endorsed Transactions on Digital Transformation of Industrial Processes},
        volume={1},
        number={4},
        publisher={EAI},
        journal_a={DTIP},
        year={2026},
        month={2},
        keywords={Internet of Things (IoT), Smart Factory, Industry 4.0, production systems, RFID, predictive maintenance, 4Factory, production digitalisation},
        doi={10.4108/dtip.11723}
    }
    
  • Marta Białek
    Krzysztof Żywicki
    Year: 2026
    Assumptions for the Application of Internet of Things Solutions in a Smart Factory Demonstrator
    DTIP
    EAI
    DOI: 10.4108/dtip.11723
Marta Białek1,*, Krzysztof Żywicki 1
  • 1: Poznań University of Technology
*Contact email: marta.bialek@put.poznan.pl

Abstract

The article presents the role and applications of the Internet of Things (IoT) within the concept of a smart factory, with particular emphasis on the Smart Factory laboratory demonstrator at Poznan University of Technology. Key IoT functions are discussed, including the integration of sensors, information systems, and actuators in order to fully digitise production processes. The demonstrator enables replication of real industrial processes, such as production flow control, material inventory supervision, and monitoring of technical equipment operations. The article presents the architecture of the IoT infrastructure, the use of RFID technology, and the implementation of predictive maintenance based on sensor data analysis. The results indicate that IoT implementation significantly increases operational efficiency, improves production quality, and reduces downtimes, although it requires overcoming organisational and technological barriers. The Smart Factory demonstrator serves as a practical platform for research and education in the area of Industry 4.0.  

Keywords
Internet of Things (IoT), Smart Factory, Industry 4.0, production systems, RFID, predictive maintenance, 4Factory, production digitalisation
Received
2026-01-27
Accepted
2026-02-11
Published
2026-02-25
Publisher
EAI
http://dx.doi.org/10.4108/dtip.11723

Copyright © 2026 Marta Białek et al., licensed to EAI. This is an open access article distributed under the terms of the CC BY-NCSA 4.0, which permits copying, redistributing, remixing, transformation, and building upon the material in any medium so long as the original work is properly cited.

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