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Industry 4.0 Concept: Background and Overview
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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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Citations
Cites
A Cyber-Physical Systems architecture for Industry 4.0-based manufacturing systems
Lee, J., Bagheri, B., & Kao, H.-A. (2015) · Manufacturing Letters · doi:10.1016/j.mfglet.2014.12.001 · Cited by 5,113
Oesterreich, T. D., & Teuteberg, F. (2016) · Computers in Industry · doi:10.1016/j.compind.2016.09.006 · Cited by 1,529
Industry 4.0: Towards future industrial opportunities and challenges
Zhou, K., Liu, T., & Zhou, L. (2015) · International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) · doi:10.1109/fskd.2015.7382284 · Cited by 1,257
Design of reconfigurable manufacturing systems
Koren, Y., & Shpitalni, M. (2010) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2011.01.001 · Cited by 781
Weyer, S., Schmitt, M., Ohmer, M., & Gorecky, D. (2015) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2015.06.143 · Cited by 704
Software-defined environment for reconfigurable manufacturing systems
Nayak, N., Dürr, F., & Rothermel, K. (2015) · International Conference on the Internet of Things (IoT) · doi:10.1109/iot.2015.7356556 · Cited by 72
Cognitive systems for intelligent business information management in cognitive economy
Ogiela, L., & Ogiela, M. R. (2014) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2014.08.001 · Cited by 64
Functional Analysis of Manufacturing Execution System Distribution
Bratukhin, A., & Sauter, T. (2011) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2011.2167155 · Cited by 47
Flexible manufacturing systems: Major breakthrough in manufacturing management
Dhar, U. R. (1989) · Engineering Management International · doi:10.1016/s0167-5419(89)80006-7 · Cited by 11
Research works printed but not linked: 1
- B. C. Morello, B. Ghaouar, C. Varnier and N. Zerhouni, "Memory tracking of the health state of smart products in their lifecycle," Industrial Engineering and Systems Manage- ment (IESM), Proceedings of 2013 International Conference on, Rabat, 2013.
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Industry 4.0: state of the art and future trends
Xu, L. D., Xu, E. L., & Li, L. (2018) · International Journal of Production Research · doi:10.1080/00207543.2018.1444806 · Cited by 3,405
Industry 4.0 technologies assessment: A sustainability perspective
Bai, C. A., Dallasega, P., Orzes, G., & Sarkis, J. (2020) · International Journal of Production Economics · doi:10.1016/j.ijpe.2020.107776 · Cited by 1,519
Scanning the Industry 4.0: A Literature Review on Technologies for Manufacturing Systems
Alcácer, V., & Machado, V. A. C. (2019) · Engineering Science and Technology an International Journal · doi:10.1016/j.jestch.2019.01.006 · Cited by 1,110
Behind the definition of Industry 4.0: Analysis and open questions
Culot, G., Nassimbeni, G., Orzes, G., & Sartor, M. (2020) · International Journal of Production Economics · doi:10.1016/j.ijpe.2020.107617 · Cited by 746
Lim, K. Y. H., Zheng, P., & Chen, C.-H. (2020) · Journal of Intelligent Manufacturing · doi:10.1007/s10845-019-01512-w · Cited by 700
Rodríguez-Espíndola, O., Cuevas-Romo, A., Chowdhury, S., Acevedo, N. B. D., Albores, P., Despoudi, S., Malesios, C., & Dey, P. K. (2022) · International Journal of Production Economics · doi:10.1016/j.ijpe.2022.108495 · Cited by 572
Predictive Maintenance and Intelligent Sensors in Smart Factory: Review
Pech, M., Vrchota, J., & Bednář, J. (2021) · Sensors · doi:10.3390/s21041470 · Cited by 548
Occupational health and safety in the industry 4.0 era: A cause for major concern?
Badri, A., Boudreau-Trudel, B., & Souissi, A. (2018) · Safety Science · doi:10.1016/j.ssci.2018.06.012 · Cited by 500
Blockchain for the IoT and industrial IoT: A review
Wang, Q., Zhu, X., Ni, Y., Gu, L. W., & Zhu, H. (2019) · Internet of Things · doi:10.1016/j.iot.2019.100081 · Cited by 438
Sony, M., & Naik, S. S. (2019) · Production Planning & Control · doi:10.1080/09537287.2019.1691278 · Cited by 455
Industry 4.0, a revolution that requires technology and national strategies
Yang, F., & Gu, S. (2021) · Complex & Intelligent Systems · doi:10.1007/s40747-020-00267-9 · Cited by 399
Challenges for the cyber-physical manufacturing enterprises of the future
Panetto, H., Iung, B., Ivanov, D., Weichhart, G., & Wang, X. (2019) · Annual Reviews in Control · doi:10.1016/j.arcontrol.2019.02.002 · Cited by 337
The Role of Serious Games, Gamification and Industry 4.0 Tools in the Education 4.0 Paradigm
Almeida, F. L., & Simões, J. M. D. A. P. (2019) · Contemporary Educational Technology · doi:10.30935/cet.554469 · Cited by 336
Human Capital 4.0: a workforce competence typology for Industry 4.0
Flores, E., Xu, X. W., & Lu, Y. (2020) · Journal of Manufacturing Technology Management · doi:10.1108/jmtm-08-2019-0309 · Cited by 313
Smart production planning and control in the Industry 4.0 context: A systematic literature review
Bueno, A., Filho, M. G., & Frank, A. G. (2020) · Computers & Industrial Engineering · doi:10.1016/j.cie.2020.106774 · Cited by 338
Human factors and ergonomics in manufacturing in the industry 4.0 context – A scoping review
Reiman, A., Kaivo-oja, J., Parviainen, E., Takala, E.-P., & Lauraeus, T. (2021) · Technology in Society · doi:10.1016/j.techsoc.2021.101572 · Cited by 261
Nara, E. O. B., da Costa, M. B., Baierle, I. C., Schaefer, J. L., Benitez, G. B., do Santos, L. M. A. L., & Benitez, L. B. (2020) · Sustainable Production and Consumption · doi:10.1016/j.spc.2020.07.018 · Cited by 253
Ciano, M. P., Dallasega, P., Orzes, G., & Rossi, T. (2020) · International Journal of Production Research · doi:10.1080/00207543.2020.1821119 · Cited by 245
Saniuk, S., Grabowska, S., & Straka, M. (2022) · Sustainability · doi:10.3390/su14031391 · Cited by 243
Sun, X., Yu, H., Solvang, W. D., Wang, Y., & Wang, K. (2021) · Environmental Science and Pollution Research · doi:10.1007/s11356-021-17693-y · Cited by 243
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A digital twin-enhanced system for engineering product family design and optimization
Lim, K. Y. H., Zheng, P., Chen, C., & Huang, L. (2020) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2020.08.011 · Cited by 207
Rehman, S. U., Giordino, D., Zhang, Q., & Alam, G. M. (2023) · Technology in Society · doi:10.1016/j.techsoc.2023.102227 · Cited by 203
Ferrari, A. M., Volpi, L., Settembre‐Blundo, D., & García‐Muiña, F. E. (2020) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2020.125314 · Cited by 212
E-Commerce Di Era Industri 4.0 Dan Society 5.0
Hendarsyah, D. (2019) · Iqtishaduna Jurnal Ilmiah Ekonomi Kita · doi:10.46367/iqtishaduna.v8i2.170 · Cited by 180
Sony, M., Antony, J., McDermott, O., & Garza‐Reyes, J. A. (2021) · Technology in Society · doi:10.1016/j.techsoc.2021.101754 · Cited by 179
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Han, H., & Trimi, S. (2021) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2021.121242 · Cited by 178
Nagy, M., Lăzăroiu, G., & Valášková, K. (2023) · Applied Sciences · doi:10.3390/app13031681 · Cited by 182
Digital Twins in Product Lifecycle for Sustainability in Manufacturing and Maintenance
Rojek, I., Mikołajewski, D., & Dostatni, E. (2020) · Applied Sciences · doi:10.3390/app11010031 · Cited by 166
Pros and cons of implementing Industry 4.0 for the organizations: a review and synthesis of evidence
Sony, M. (2020) · Production & Manufacturing Research · doi:10.1080/21693277.2020.1781705 · Cited by 162
García‐Muiña, F. E., Salgado, S. M., Ferrari, A. M., & Cucchi, M. (2020) · Sustainability · doi:10.3390/su12062364 · Cited by 161
dos Reis, F. J. J., Alaiti, R. K., Vallio, C. S., & Hespanhol, L. (2024) · Brazilian Journal of Physical Therapy · doi:10.1016/j.bjpt.2024.101083 · Cited by 167
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Kalsoom, T., Ahmed, S., Rafi-ul-Shan, P. M., Azmat, M., Akhtar, P., Pervez, Z., Imran, M. A., & Rehman, M. U. (2021) · Sustainability · doi:10.3390/su132212506 · Cited by 151
Integration of Industry 4.0 technologies into Lean Six Sigma DMAIC: a systematic review
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Vinodh, S., Antony, J., Agrawal, R., & Douglas, A. (2020) · The TQM Journal · doi:10.1108/tqm-07-2020-0157 · Cited by 148
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Mateos, C., Nieves‐Remacha, M. J., & Rincón, J. A. (2019) · Reaction Chemistry & Engineering · doi:10.1039/c9re00116f · Cited by 144
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AlMetwally, S., Hassan, M. K., & Mourad, M. H. (2020) · Procedia CIRP · doi:10.1016/j.procir.2020.03.107 · Cited by 143
Aravindaraj, K., & Chinna, P. R. (2022) · Cleaner Logistics and Supply Chain · doi:10.1016/j.clscn.2022.100072 · Cited by 143
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Putra, P. H. (2019) · Islamika Jurnal Ilmu-Ilmu Keislaman · doi:10.32939/islamika.v19i02.458 · Cited by 141
Kannan, K. S. P. N., & Garad, A. (2020) · International Journal of Quality & Reliability Management · doi:10.1108/ijqrm-04-2019-0124 · Cited by 139
Verma, P., Kumar, V., Daim, T. U., Sharma, N. K., & Mittal, A. (2022) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2022.131639 · Cited by 143
Chiarini, A., & Kumar, M. (2021) · International Journal of Production Research · doi:10.1080/00207543.2021.1942285 · Cited by 136
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Khan, S., Arslan, T., & Ratnarajah, T. (2022) · IEEE Access · doi:10.1109/access.2022.3156062 · Cited by 129
Symeonaki, E. G., Arvanitis, K. G., & Piromalis, D. D. (2020) · Applied Sciences · doi:10.3390/app10030813 · Cited by 120
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Felsberger, A., & Reiner, G. (2020) · Sustainability · doi:10.3390/su12197982 · Cited by 125
Costa, G. D. M., Petry, M. R., & Moreira, A. P. (2022) · Sensors · doi:10.3390/s22072725 · Cited by 125
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Skalli, D., Charkaoui, A., Cherrafi, A., Garza‐Reyes, J. A., Antony, J., & Shokri, A. (2023) · Quality Management Journal · doi:10.1080/10686967.2022.2144784 · Cited by 104
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Alvarez‐Alvarado, M. S., Donaldson, D. L., Recalde, A. A., Noriega, H. H., Khan, Z. A., Velásquez, W., & Gallegos, C. D. R. (2022) · IEEE Access · doi:10.1109/access.2022.3172697 · Cited by 115
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McNulty, D., Hennessy, A., Li, M., Armstrong, E., & Ryan, K. M. (2022) · Journal of Power Sources · doi:10.1016/j.jpowsour.2022.231943 · Cited by 111
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Turmudi, D. (2020) · English Language Teaching Educational Journal · doi:10.12928/eltej.v3i1.1890 · Cited by 102
A review of Industry 4.0 and additive manufacturing synergy
Khorasani, M., Loy, J., Ghasemi, A. H., Sharabian, E., Leary, M., Mirafzal, H., Cochrane, P., Rolfe, B., & Gibson, I. (2022) · Rapid Prototyping Journal · doi:10.1108/rpj-08-2021-0194 · Cited by 102
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Lund, N. S. V., Borup, M., Madsen, H., Mark, O., Arnbjerg‐Nielsen, K., & Mikkelsen, P. S. (2019) · Nature Sustainability · doi:10.1038/s41893-019-0392-1 · Cited by 101
Chen, Q., Adey, B. T., Haas, C. T., & Hall, D. (2020) · Construction Innovation · doi:10.1108/ci-11-2019-0133 · Cited by 100
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Chıacchıo, F., D’Urso, D., Olıverı, L. M., Spitaleri, A., Spampinato, C., & Giordano, D. (2022) · Applied Sciences · doi:10.3390/app12084019 · Cited by 99
What is the potential impact of industry 4.0 on health and safety at work?
Zorzenon, R., Lizarelli, F. L., & Moura, D. B. A. D. A. (2022) · Safety Science · doi:10.1016/j.ssci.2022.105802 · Cited by 99
Significant Applications of Big Data in Industry 4.0
Javaid, M., Haleem, A., Singh, R. P., & Suman, R. (2021) · Journal of Industrial Integration and Management · doi:10.1142/s2424862221500135 · Cited by 98
Tsai, W.-H. (2018) · Energies · doi:10.3390/en11082072 · Cited by 97
Transition-metal catalyzed asymmetric reactions under continuous flow from 2015 to early 2020
Liao, J., Zhang, S., Wang, Z., Song, X., Zhang, D., Kumar, R., Jin, J. G., Ren, P., You, H., & Chen, F. (2020) · Green Synthesis and Catalysis · doi:10.1016/j.gresc.2020.08.001 · Cited by 96
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Kiyokawa, T., Takamatsu, J., & Koyanaka, S. (2022) · IEEE Transactions on Automation Science and Engineering · doi:10.1109/tase.2022.3221969 · Cited by 104
Hübbers, J., & Buyel, J. F. (2020) · Biotechnology Advances · doi:10.1016/j.biotechadv.2020.107681 · Cited by 95
Monteiro, J., & Barata, J. (2021) · Procedia Computer Science · doi:10.1016/j.procs.2021.09.074 · Cited by 95
Pech, M., & Vrchota, J. (2020) · Applied Sciences · doi:10.3390/app10155150 · Cited by 105
Ariffin, K. A. Z., & Ahmad, F. H. (2021) · Computers & Security · doi:10.1016/j.cose.2021.102237 · Cited by 89
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Interpretive framework by analysing the enablers for implementation of Industry 4.0: an ISM approach
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Govindan, K., & Arampatzis, G. (2023) · Electronic Commerce Research and Applications · doi:10.1016/j.elerap.2023.101249 · Cited by 83
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Kebande, V. R., & Awad, A. I. (2023) · ACM Computing Surveys · doi:10.1145/3635030 · Cited by 88
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Çallı, B. A., & Çallı, L. (2021) · Business And Management Studies An International Journal · doi:10.15295/bmij.v9i2.1786 · Cited by 78
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Butt, R., Siddiqui, H., Soomro, R. A., & Asad, M. M. (2020) · Interactive Technology and Smart Education · doi:10.1108/itse-02-2020-0022 · Cited by 75
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Sverko, M., Grbac, T. G., & Mikuc, M. (2022) · IEEE Access · doi:10.1109/access.2022.3211288 · Cited by 71
“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
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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
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
- 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
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.
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