ArticleSensors (Basel, Switzerland)2020
Reliable Identification Schemes for Asset and Production Tracking in Industry 4.0.
Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed.
- Charting Advances in Asset Management Systems: A Bibliometric Analysis Revealing Applications and Potential in Healthcare.Healthcare (Basel, Switzerland) · 2025Article
- Large-Scale Cellular Vehicle-to-Everything Deployments Based on 5G-Critical Challenges, Solutions, and Vision towards 6G: A Survey.Sensors (Basel, Switzerland) · 2023Article
- Intelligent Warehouse in Industry 4.0-Systematic Literature Review.Sensors (Basel, Switzerland) · 2023Review
- Positioning in 5G and 6G Networks-A Survey.Sensors (Basel, Switzerland) · 2022Review
- High-Precision RTT-Based Indoor Positioning System Using RCDN and RPN.Sensors (Basel, Switzerland) · 2021Article
- Controlling an Industrial Robot Using a Graphic Tablet in Offline and Online Mode.Sensors (Basel, Switzerland) · 2021Article
- Automatic Identification of Tool Wear Based on Thermography and a Convolutional Neural Network during the Turning Process.Sensors (Basel, Switzerland) · 2021Article
- Real-Time Locating System in Production Management.Sensors (Basel, Switzerland) · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Revolutionizing logistics and supply chain management in smart manufacturing is one of the main goals of the Industry 4.0 movement. Emerging technologies such as autonomous vehicles, Cyber-Physical Systems and digital twins enable highly automated and optimized solutions in these fields to achieve full traceability of individual products. Tracking various assets within shop-floors and the warehouse is a focal point of asset management; its aim is to enhance the efficiency of logistical tasks. Global players implement their own solutions based on the state of the art technologies. Small and medium companies, however, are still skeptic toward identification based tracking methods, because of the lack of low-cost and reliable solutions. This paper presents a novel, working, reliable, low-cost, scalable solution for asset tracking, supporting global asset management for Industry4.0. The solution uses high accuracy indoor positioning-based on Ultra-Wideband (UWB) radio technology-combined with RFID-based tracking features. Identifying assets is one of the most challenging parts of this work, so this paper focuses on how different identification approaches can be combined to facilitate an efficient and reliable identification scheme.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.