Internet of Things-Enabled Smart Maintenance Systems: 
Impact on Operational Efficiency

Chengyong Wang; Moldabekova Aisulu

doi:10.70711/memf.v3i10.10037

Internet of Things-Enabled Smart Maintenance Systems: Impact on Operational Efficiency

Chengyong Wang, Moldabekova Aisulu

Abstract

The construction of the Internet of Things (IoT) in maintenance management is typical of Industry 4.0, but there is still a lack of empirical research on how it has increased operating efficiency There are also implementation difficulties; due to old equipment and fragmented
data systems in some enterprises, only half of the expected increase in efficiency has been realised. Based on the above analysis, the adoption
of IoT-based intelligent maintenance positively affects the economy of scale, but the size of this improvement varies according to whether a
company is well-equipped to use new technologies.

Keywords

Internet of Things (IoT); Smart maintenance; Operational efficiency; Overall equipment effectiveness (OEE); Condition-based maintenance (CBM)

Full Text:

PDF

Included Database

References

[1] Mandal R, Ghosh C, Chowdhury A, et al. An economical convenient design of braille coder keyboard for the people with visual impairment using internet of things.[J]. Disability and rehabilitation. Assistive technology, 2026, 1-10. DOI:10.1080/17483107.2026.2681148.

[2] Complexity. RETRACTION: Green Internet of Things and Big Data Application in Smart Cities Development[J]. Complexity, 2026,

2026 (1):9790538-9790538. DOI:10.1155/CPLX/9790538.

[3] Younan M, Mostafa A, Attya E M, et al. Diabetes challenges and promising solutions based on the internet of medical things, blockchain, and artificial intelligence: A systematic literature review[J]. Cluster Computing, 2026, 29 (5):298-298. DOI:10.1007/S10586-026-

06020-0.

[4] BÃ¡nyai T, BÃ¡nyai Ã. Real-Time Maintenance Optimization with Industrial Internet of Things[J]. Applied Sciences, 2025, 15 (10):5640-

5640. DOI:10.3390/APP15105640.

[5] Costa A, Miranda J, Dias D, et al. Smart Maintenance Solutions: AR- and VR-Enhanced Digital Twin Powered by FIWARE[J]. Sensors,

2025, 25 (3):845-845. DOI:10.3390/S25030845.

[6] Manchadi O, BOUAZZA B E F, Dehbi O E Z, et al. An Internet of Things-based Predictive Maintenance Architecture for Intensive Care

Unit Ventilators[J]. International Journal of Advanced Computer Science and Applications (IJACSA), 2024, 15 (2).

DOI: http://dx.doi.org/10.70711/memf.v3i10.10037

Refbacks

There are currently no refbacks.