Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 369

The DOI matches its Crossref record.

Industry 4.0 – An Introduction in the phenomenon

Open access
Zezulka, F., Marcon, P., Vesely, I., Sajdl, O.·2016·IFAC-PapersOnLine

Abstract

: The goal of the paper is to introduce specialists from industry into the important phenomenon of the recent technology and to explain cyber – physical and informatics background of the platform Industry 4.0 and basic steps in any design and implementation of the Industry 4.0 systems. Authors introduce readers in both the RAMI 4.0 as well as the Industry 4.0 Components models which represent necessary initial background of any Industry 4.0 application. The main stress is given to the Industry 4.0 components model, which enables designers from firms to understand already existing Industry 4.0 case studies and to develop their first Industry 4.0 case studies applications.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.ifacol.2016.12.002

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 369

Metadata

Authors
Zezulka, F., Marcon, P., Vesely, I., & Sajdl, O.
Venue
IFAC-PapersOnLine
Publisher
Elsevier BV
Published
2016
Volume
49
Issue
25
Pages
8-12
ISSN
2405-8963 (ISSN-L)
OpenAlex
W2561260277
Cited by
369
References
0
FWCI
53.05
Type
journal article
Language
en
Open access
diamond

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 ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

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

This page
CoChat. (2026). Citation check: Industry 4.0 – An Introduction in the phenomenon. https://app.cochat.ai/papers/10.1016/j.ifacol.2016.12.002
The paper
Zezulka, F., Marcon, P., Vesely, I., & Sajdl, O. (2016). Industry 4.0 – An Introduction in the phenomenon. IFAC-PapersOnLine. https://doi.org/10.1016/j.ifacol.2016.12.002

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.