ReviewSensors (Basel, Switzerland)2020
Advances in Sensor Technologies in the Era of Smart Factory and Industry 4.0.
Review 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 29 papers, 1 of them a synthesis that pooled 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.
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
29 citing papers in PubMed, 1 synthesis or guideline pooled it, 322 citations in OpenAlex.
- A Review of Attacks, Vulnerabilities, and Defenses in Industry 4.0 with New Challenges on Data Sovereignty Ahead.Sensors (Basel, Switzerland) · 2021Pooled it
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- Review of advanced sensor system applications in grinding operations.Journal of advanced research · 2025Review
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- Internet of Robotic Things: Current Technologies, Challenges, Applications, and Future Research Topics.Sensors (Basel, Switzerland) · 2025Review
- Overcoming Challenges in Implementing Condition Monitoring Services: Recommendations from an Expert Elicitation Exploratory Study.Open research Europe · 2025Article
- A Novel Robotic Controller Using Neural Engineering Framework-Based Spiking Neural Networks.Sensors (Basel, Switzerland) · 2024Article
- Data pipeline for real-time energy consumption data management and prediction.Frontiers in big data · 2024Article
- Smart Sensor Control and Monitoring of an Automated Cell Expansion Process.Sensors (Basel, Switzerland) · 2023Article
- Estimation of Tool Life in the Milling Process-Testing Regression Models.Sensors (Basel, Switzerland) · 2023Article
- Evaluation of Smart Sensors for Subway Electric Motor Escalators through AHP-Gaussian Method.Sensors (Basel, Switzerland) · 2023Article
- Interpretable polynomial neural ordinary differential equations.Chaos (Woodbury, N.Y.) · 2023Article
- Article
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- Review
- Review of State-of-the-Art FPGA Applications in IoT Networks.Sensors (Basel, Switzerland) · 2022Review
- Deep Unsupervised Domain Adaptation with Time Series Sensor Data: A Survey.Sensors (Basel, Switzerland) · 2022Review
- Field-Effect Transistor-Based Biosensors for Environmental and Agricultural Monitoring.Sensors (Basel, Switzerland) · 2022Review
- Millimeter-Wave Smart Antenna Solutions for URLLC in Industry 4.0 and Beyond.Sensors (Basel, Switzerland) · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The evolution of intelligent manufacturing has had a profound and lasting effect on the future of global manufacturing. Industry 4.0 based smart factories merge physical and cyber technologies, making the involved technologies more intricate and accurate; improving the performance, quality, controllability, management, and transparency of manufacturing processes in the era of the internet-of-things (IoT). Advanced low-cost sensor technologies are essential for gathering data and utilizing it for effective performance by manufacturing companies and supply chains. Different types of low power/low cost sensors allow for greatly expanded data collection on different devices across the manufacturing processes. While a lot of research has been carried out with a focus on analyzing the performance, processes, and implementation of smart factories, most firms still lack in-depth insight into the difference between traditional and smart factory systems, as well as the wide set of different sensor technologies associated with Industry 4.0. This paper identifies the different available sensor technologies of Industry 4.0, and identifies the differences between traditional and smart factories. In addition, this paper reviews existing research that has been done on the smart factory; and therefore provides a broad overview of the extant literature on smart factories, summarizes the variations between traditional and smart factories, outlines different types of sensors used in a smart factory, and creates an agenda for future research that encompasses the vigorous evolution of Industry 4.0 based smart factories.
Indexed as
Identifiers
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.