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Industry 4.0 – A Glimpse
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Digitization and intelligentization of manufacturing process is the need for today’s industry. The manufacturing industries are currently changing from mass production to customized production. The rapid advancements in manufacturing technologies and applications in the industries help in increasing productivity. The term Industry 4.0 stands for the fourth industrial revolution which is defined as a new level of organization and control over the entire value chain of the life cycle of products; it is geared towards increasingly individualized customer requirements. Industry 4.0 is still visionary but a realistic concept which includes Internet of Things, Industrial Internet, Smart Manufacturing and Cloud based Manufacturing. Industry 4.0 concerns the strict integration of human in the manufacturing process so as to have continuous improvement and focus on value adding activities and avoiding wastes. The objective of this paper is to provide an overview of Industry 4.0 and understanding of the nine pillars of Industry 4.0 with its applications and identifying the challenges and issues occurring with implementation the Industry 4.0 and to study the new trends and streams related to Industry 4.0.
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“As a result of the smart factory concept implementation, Lean, Flexible, Sustainable, Digital, Cloud, Intelligent, Holonic, Additive and Agile manufacturing models have been defined [3], [4], based on utilization of specific groups of I4.0 enabling technologies and their impact on the entire industrial value chain.”
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 [3]
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Service Innovation and Smart Analytics for Industry 4.0 and Big Data Environment
Lee, J., Kao, H.-A., & Yang, S. (2014) · Procedia CIRP · doi:10.1016/j.procir.2014.02.001 · Cited by 1,965
Opportunities of Sustainable Manufacturing in Industry 4.0
Stock, T. W., & Seliger, G. (2016) · Procedia CIRP · doi:10.1016/j.procir.2016.01.129 · Cited by 1,947
A Maturity Model for Assessing Industry 4.0 Readiness and Maturity of Manufacturing Enterprises
Schumacher, A., Erol, S., & Sihn, W. (2016) · Procedia CIRP · doi:10.1016/j.procir.2016.07.040 · Cited by 1,766
Implementing Smart Factory of Industrie 4.0: An Outlook
Wang, S., Wan, J., Li, D., & Zhang, C. (2016) · International Journal of Distributed Sensor Networks · doi:10.1155/2016/3159805 · Cited by 1,527
“Industrie 4.0” and Smart Manufacturing – A Review of Research Issues and Application Examples
Thoben, K., Wiesner, S., Wuest, T., & Industrial and Management Systems Engineering (2017) · International Journal of Automation Technology · doi:10.20965/ijat.2017.p0004 · Cited by 1,148
A Categorical Framework of Manufacturing for Industry 4.0 and Beyond
Qin, J., Liu, Y., & Grosvenor, R. I. (2016) · Procedia CIRP · doi:10.1016/j.procir.2016.08.005 · Cited by 1,043
INDUSTRY 4.0: A REVIEW ON INDUSTRIAL AUTOMATION AND ROBOTIC
Bahrin, M. A. K., Othman, M. F., Azli, N. H. N., & Talib, M. F. (2016) · Jurnal Teknologi · doi:10.11113/jt.v78.9285 · Cited by 680
Tangible Industry 4.0: A Scenario-Based Approach to Learning for the Future of Production
Erol, S., Jäger, A., Hold, P., Ott, K., & Sihn, W. (2016) · Procedia CIRP · doi:10.1016/j.procir.2016.03.162 · Cited by 636
The Industry 4.0 revolution and the future of Manufacturing Execution Systems (MES)
Almada-Lobo, F. (2016) · Journal of Innovation Management · doi:10.24840/2183-0606_003.004_0003 · Cited by 622
Lean Automation enabled by Industry 4.0 Technologies
Kolberg, D., & Zühlke, D. (2015) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2015.06.359 · Cited by 617
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- Brettel, 2014, How Virtualization, Decentralization and Network Building Change the Manufacturing Landscape: An Industry 4.0 Perspective, International Journal of Mechanical, Aerospace, Industrial, Mechatronic and Manufacturing Engineering, 8, 36
- Witkowski, 2017, Internet of Things, Big Data, Industry 4.0- Innovative Solutions in Logistics and Supply Chains Management, 7th International Conference on Engineering, Project, and Production Management, Procedia Engineering, 182, 763
- E. Hozdić, Smart Factory for Industry 4.0: A Review, International Journal of Modern Manufacturing Technologies, ISSN 2067–3604, (Vol. VII, No. 1 (2015) 28-35.
- A.C. Valdeza, P. Braunera, A.K. Schaara, Reducing Complexity with Simplicity - Usability Methods for Industry 4.0, Proceedings 19th Triennial Congress of the IEA, Melbourne 9-14 August 2015.
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Metadata
- Authors
- Vaidya, S., Ambad, P., & Bhosle, S.
- Corresponding author
- Vaidya, Saurabh
- ORCID
- Bhosle, Santosh
- Venue
- Procedia Manufacturing
- Publisher
- Elsevier BV
- Published
- 2018
- Volume
- 20
- Pages
- 233-238
- ISSN
- 2351-9789 (ISSN-L)
- OpenAlex
- W2791987562
- Cited by
- 1,352
- References
- 34
- Citations by year
- 2026: 69 · 2025: 140 · 2024: 159 · 2023: 188 · 2022: 233 · 2021: 260 · 2020: 188 · 2019: 83 · 2018: 32
- FWCI
- 116.61
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- Locations
- Procedia Manufacturing (publishedVersion, cc-by-nc-nd)
- Topics
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
- Social Sciences › Decision Sciences › Management Science and Operations Research › Impact of AI and Big Data on Business and Society
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Flexible and Reconfigurable Manufacturing Systems
- Keywords
- Industry 4.0, digitalization of manufacturing, Internet of Things, Industrial Internet of Things, smart manufacturing, cloud manufacturing, value chain integration, waste reduction, implementation barriers, manufacturing trends
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