Evidence map›Paper›PMID 38475247›Full record

ArticleSensors (Basel, Switzerland)2024

The Rise of Passive RFID RTLS Solutions in Industry 5.0.

Ygal Bendavid, Samad Rostampour, Yacine Berrabah, Nasour Bagheri, Masoumeh Safkhani

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Ygal BendavidDepartment of Analytics Operations and Technology, School of Management, Université du Québec à Montréal (UQAM), Montreal, QC H2X 3X2, Canada.
Samad RostampourDepartment of Computer Science, Vanier College, Montreal, QC H4L 3X9, Canada.ORCID 0000-0003-0183-5993
Yacine BerrabahDepartment of Analytics Operations and Technology, School of Management, Université du Québec à Montréal (UQAM), Montreal, QC H2X 3X2, Canada.
Nasour BagheriCPS2 Lab, Electrical Engineering Department, Shahid Rajaee Teacher Training University, Tehran 16788-15811, Iran.ORCID 0000-0002-6818-5342
Masoumeh SafkhaniComputer Engineering Department, Shahid Rajaee Teacher Training University (SRTTU), Tehran 16788-15811, Iran.ORCID 0000-0002-1897-0828

Funding

Canada fondation for innovation 40115
6 · The paper itself

Abstract

In today's competitive landscape, manufacturing companies must embrace digital transformation. This study asserts that integrating Internet of Things (IoT) technologies for the deployment of real-time location systems (RTLS) is crucial for better monitoring of critical assets. Despite the challenge of selecting the right technology for specific needs from a wide range of indoor RTLS options, this study provides a solution to assist manufacturing companies in exploring and implementing IoT technologies for their RTLS needs. The current academic literature has not adequately addressed this industrial reality. This paper assesses the potential of Passive UHF RFID-RTLS in Industry 5.0, addressing the confusion caused by the emergence of new 'passive' RFID solutions that compete with established 'active' solutions. Our research aims to clarify the real-world performance of passive RTLS solutions and propose an updated classification of RTLS systems in the academic literature. We have thoroughly reviewed both the academic and industry literature to remain up to date with the latest market advancements. Passive UHF RFID has been proven to be a valuable addition to the RTLS domain, capable of addressing certain challenges. This has been demonstrated through the successful implementation in two industrial sites, each with different types of tagged objects.

Indexed as

digital transformationindoor positioning systemsindustry 5.0IoTIPSpassive UHF RFIDreal-time location systemsRTLS

Identifiers

PMID38475247
PMCPMC11326487

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.