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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

20301 - Mechanical engineering

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Procedia Computer Science

ISBN

—

ISSN

1877-0509

e-ISSN

1877-0509

Počet stran výsledku

10

Strana od-do

2478-2487

Název nakladatele

Elsevier B.V.

Místo vydání

Amsterdam

Místo konání akce

Praha

Datum konání akce

20. 11. 2024

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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