Maintenance Management in Production: A Qualitative Study on Industry 4.0 Adoption and Challenges

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F25%3A00383303" target="_blank" >RIV/68407700:21220/25:00383303 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1016/j.procs.2025.01.308" target="_blank" >https://doi.org/10.1016/j.procs.2025.01.308</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.procs.2025.01.308" target="_blank" >10.1016/j.procs.2025.01.308</a>

Result language
angličtina
Original language name
Maintenance Management in Production: A Qualitative Study on Industry 4.0 Adoption and Challenges
Original language description
In the Industry 4.0 era, manufacturing is being transformed by digital technologies like the Internet of Things, cyber-physical systems, and big data analytics, enhancing production efficiency and reliability. Traditional maintenance methods, such as corrective and preventive maintenance, are evolving into advanced strategies like condition-based and predictive maintenance. However, practical implementation faces challenges, including data entry errors, ERP integration issues, and a shortage of qualified technicians, despite their potential benefits. This study investigates the adoption of these technologies in maintenance procedures within the food, packaging, automotive, and textile industries. Through structured interviews with 20 maintenance managers in Istanbul, Turkey, the research explores how Industry 4.0 tools, such as sensors and predictive systems, are integrated into maintenance. The findings highlight the critical role of maintenance in ensuring process efficiency, safety, and reliability, while identifying operational challenges. The study offers recommendations for digitizing maintenance, improving technician training, and enhancing data collection to maximize the benefits of modern maintenance strategies.
Czech name
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Czech description
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Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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