Reliable Identification Schemes for Asset and Production Tracking in Industry 4.0

Clicks: 293
ID: 113789
2020
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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.
Reference Key
frankó2020sensorsreliable Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Attila Frankó;Gergely Vida;Pal Varga;Frankó, Attila;Vida, Gergely;Varga, Pal;
Journal sensors
Year 2020
DOI
10.3390/s20133709
URL
https://www.mdpi.com/1424-8220/20/13/3709/htm
Keywords
iot industry 4.0 asset tracking low-cost tracking

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