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Scanning the Industry 4.0: A Literature Review on Technologies for Manufacturing Systems

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Alcácer, V., Cruz-Machado, V.·2019·Engineering Science and Technology, an International Journal
DOI 10.1016/j.jestch.2019.01.006
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Abstract

Industry 4.0 leads to the digitalization era. Everything is digital; business models, environments, production systems, machines, operators, products and services. It’s all interconnected inside the digital scene with the corresponding virtual representation. The physical flows will be mapped on digital platforms in a continuous manner. On a higher level of automation, many systems and software are enabling factory communications with the latest trends of information and communication technologies leading to the state-of-the-art factory, not only inside but also outside factory, achieving all elements of the value chain on a real-time engagement. Everything is smart. This disruptive impact on manufacturing companies will allow the smart manufacturing ecosystem paradigm. Industry 4.0 is the turning point to the end of the conventional centralized applications. The Industry 4.0 environment is scanned on this paper, describing the so-called enabling technologies and systems over the manufacturing environment.

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Metadata

Authors
Alcácer, V., & Cruz-Machado, V.
Venue
Engineering Science and Technology, an International Journal
Publisher
Elsevier BV
Published
2019-06
Volume
22
Issue
3
Pages
899-919
ISSN
2215-0986 (ISSN-L)
DOI
10.1016/j.jestch.2019.01.006
OpenAlex
W2913314997
Cited by
1,063
References
9
FWCI
112.99
Type
journal article
Language
en
Open access
gold
Licence

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

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How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Scanning the Industry 4.0: A Literature Review on Technologies for Manufacturing Systems. https://app.cochat.ai/papers/10.1016/j.jestch.2019.01.006
The paper
Alcácer, V., & Cruz-Machado, V. (2019). Scanning the Industry 4.0: A Literature Review on Technologies for Manufacturing Systems. Engineering Science and Technology, an International Journal. https://doi.org/10.1016/j.jestch.2019.01.006

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.