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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German-Japanese cooperation formed three work groups focusing on standardization, digital business models, and cyber/industrial security.
“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]
The Abstract and section 2.4 discuss Industry 4.0 standardization, while the Introduction mentions Japan only in a different context. Searches for German-Japanese cooperation and the three proposed work-group topics found no passage describing those groups or their formation. (LLM, conf=0.74)
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Puriwat, W., & Tripopsakul, S. (2020) · International Journal of Instruction · doi:10.29333/iji.2020.1337a · Cited by 73 · see citing works
Dec, G. R., Stadnicka, D., Paśko, Ł., Mądziel, M., Figliè, R., Mazzei, D., Tyrovolas, M., Stylios, C. D., Navarro, J., & Solé-Beteta, X. (2022) · Sensors · doi:10.3390/s22072496 · Cited by 72 · see citing works
Sverko, M., Grbac, T. G., & Mikuc, M. (2022) · IEEE Access · doi:10.1109/access.2022.3211288 · Cited by 71 · see citing works
“Similarly, providing an overview and background of Industry 4.0 concept, and addressing the current state of industry, Rojko [118] has drawn attention to the following basic prerequisites that must be met to facilitate the transition of the industrial production system to the new smart factory…”
BackgroundInfluentialKaruppiah, K., Sankaranarayanan, B., D’Adamo, I., & Ali, S. M. (2022) · Journal of Asia Business Studies · doi:10.1108/jabs-05-2021-0202 · Cited by 71 · see citing works
Effectiveness of Blended Learning Model Based on Problem-Based Learning in Islamic Studies Course
Assoc, P., Hamzah, H., Tambak, S., Universitas Islam Riau, I., Hamzah, M. L., Universitas Islam Negeri Sultan Syarif Kasim Riau, I., Purwati, A. A., Irawan, Y., STMIK Hang Tuah, I., Umam, M. I. H., et al. (2022) · International Journal of Instruction · doi:10.29333/iji.2022.15242a · Cited by 70 · see citing works
- 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
- 1,023
- References
- 10
- Citations by year
- 2026: 27 · 2025: 60 · 2024: 105 · 2023: 136 · 2022: 178 · 2021: 228 · 2020: 184 · 2019: 86 · 2018: 17 · 2017: 2
- FWCI
- 86.58
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- 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
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