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Industry 4.0 Concept: Background and Overview
Open accessAbstract
Industry 4.0 is a strategic initiative recently introduced by the German government. The goal of the initiative is transformation of industrial manufacturing through digitalization and exploitation of potentials of new technologies. An Industry 4.0 production system is thus flexible and enables individualized and customized products. The aim of this paper is to present and facilitate an understanding of Industry 4.0 concepts, its drivers, enablers, goals and limitations. Building blocks are described and smart factory concept is presented. A Reference Architecture Model RAMI4.0 and role of standardization in future implementation of Industry 4.0 concept are addressed. The current status of Industry 4.0 readiness of the German companies is presented and commented. Finally it is discussed if Industry 4.0 is really a disruptive concept or simply a natural incremental development of industrial production systems.
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“Between 2016 and 2020, the German-Japanese cooperation for the standardization of Industry 4.0 and the Industrial internet of things formed three work groups focus-ing on standardization (use cases and applications), digital business models and cyber and industrial security [117] under the common strategy for I4.0 and IIoT [118]”
From SCADA Systems With Focus on Continuous Manufacturing and Steel Industry: A Survey on Architectures, Standards, Challenges and Industry 5.0 (2022) · cites this paper as [118]
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Metadata
- Authors
- Rojko, A.
- Corresponding author
- Rojko, Andreja
- Venue
- International Journal of Interactive Mobile Technologies (iJIM)
- Published
- 2017-07-24
- Volume
- 11
- Issue
- 5
- Pages
- 77
- ISSN
- 1865-7923 (ISSN-L)
- OpenAlex
- W2737940375
- Cited by
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- en
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- International Journal of Interactive Mobile Technologies (iJIM) (publishedVersion, cc-by)
- Topics
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Flexible and Reconfigurable Manufacturing Systems
- Social Sciences › Decision Sciences › Management Science and Operations Research › Impact of AI and Big Data on Business and Society
- Keywords
- Industry 4.0, digitalization of manufacturing, smart factory, standardization, Industry 4.0 readiness, German industry, disruptive innovation, industrial production systems
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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