Real-Time Maintenance Optimization with Industrial Internet of Things
Efficient maintenance management is critical to ensuring the reliability and productivity of industrial systems. This article explores how the Industrial Internet of Things (IIoT) enables real-time maintenance optimization through data-driven decision-making. IIoT technologies, such as connected sma...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-05-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/15/10/5640 |
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| author | Tamás Bányai Ágota Bányai |
| author_facet | Tamás Bányai Ágota Bányai |
| author_sort | Tamás Bányai |
| collection | DOAJ |
| description | Efficient maintenance management is critical to ensuring the reliability and productivity of industrial systems. This article explores how the Industrial Internet of Things (IIoT) enables real-time maintenance optimization through data-driven decision-making. IIoT technologies, such as connected smart sensors and predictive analytics, provide continuous monitoring of equipment performance and state. Within the frame of this article, a novel mathematical model is proposed to support the real-time optimization of maintenance operations in production systems. The model makes this possible by using real-time state information to optimize maintenance operations, minimize maintenance costs, and maximize the efficiency of the production system. The results highlight the potential of IIoT to transform conventional maintenance strategies into dynamic, adaptive systems. This research contributes to advancing smart maintenance solutions for modern industrial applications. |
| format | Article |
| id | doaj-art-896fde48cda24db5a97a068fe2fc3fc2 |
| institution | Kabale University |
| issn | 2076-3417 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj-art-896fde48cda24db5a97a068fe2fc3fc22025-08-20T03:47:48ZengMDPI AGApplied Sciences2076-34172025-05-011510564010.3390/app15105640Real-Time Maintenance Optimization with Industrial Internet of ThingsTamás Bányai0Ágota Bányai1Institute of Logistics, University of Miskolc, 3515 Miskolc, HungaryInstitute of Logistics, University of Miskolc, 3515 Miskolc, HungaryEfficient maintenance management is critical to ensuring the reliability and productivity of industrial systems. This article explores how the Industrial Internet of Things (IIoT) enables real-time maintenance optimization through data-driven decision-making. IIoT technologies, such as connected smart sensors and predictive analytics, provide continuous monitoring of equipment performance and state. Within the frame of this article, a novel mathematical model is proposed to support the real-time optimization of maintenance operations in production systems. The model makes this possible by using real-time state information to optimize maintenance operations, minimize maintenance costs, and maximize the efficiency of the production system. The results highlight the potential of IIoT to transform conventional maintenance strategies into dynamic, adaptive systems. This research contributes to advancing smart maintenance solutions for modern industrial applications.https://www.mdpi.com/2076-3417/15/10/5640maintenanceforecastingoptimizationefficiencyIndustrial Internet of Things solutionsrecursive objective function |
| spellingShingle | Tamás Bányai Ágota Bányai Real-Time Maintenance Optimization with Industrial Internet of Things Applied Sciences maintenance forecasting optimization efficiency Industrial Internet of Things solutions recursive objective function |
| title | Real-Time Maintenance Optimization with Industrial Internet of Things |
| title_full | Real-Time Maintenance Optimization with Industrial Internet of Things |
| title_fullStr | Real-Time Maintenance Optimization with Industrial Internet of Things |
| title_full_unstemmed | Real-Time Maintenance Optimization with Industrial Internet of Things |
| title_short | Real-Time Maintenance Optimization with Industrial Internet of Things |
| title_sort | real time maintenance optimization with industrial internet of things |
| topic | maintenance forecasting optimization efficiency Industrial Internet of Things solutions recursive objective function |
| url | https://www.mdpi.com/2076-3417/15/10/5640 |
| work_keys_str_mv | AT tamasbanyai realtimemaintenanceoptimizationwithindustrialinternetofthings AT agotabanyai realtimemaintenanceoptimizationwithindustrialinternetofthings |