Cited by 1,352Digital Transformation in IndustryImpact of AI and Big Data on Business and SocietyFlexible and Reconfigurable Manufacturing Systems

Industry 4.0 – A Glimpse

Open access
Vaidya, Saurabh, Ambad, Prashant, Bhosle, Santosh·2018·Procedia Manufacturing

Abstract

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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Crossref · 10.1016/j.promfg.2018.02.034

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  • As a result of smart factory concept implementation, Lean, Flexible, Sustainable, Digital, Cloud, Intelligent, Holonic, Additive and Agile manufacturing models have been defined.

    “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]

    Section 2.8 (page unavailable) discusses additive manufacturing under Industry 4.0, and section 2.6 describes digital production and cloud connectivity. The copy does not define the claimed set of ten manufacturing models or say they resulted from implementing the smart-factory concept. (LLM, conf=0.78)

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14 of the 34 references couldn’t be matched to a known paper.

Research works printed but not linked: 5

  1. R. Neugebauer, S. Hippmann, M. Leis, M. Landherr, Industrie 4.0-Form the perspective of apllied research, 49th CIRP conference on Manufacturing systems (CIRP-CMS 2016), 2-7.
  2. M. Brettel, N. Friederichsen, M. Keller, 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 Vol:8, No:1, 2014, 37-36.
  3. K. Witkowski, 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(2017) 763-769.
  4. 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.
  5. 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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Authors
Vaidya, S., Ambad, P., & Bhosle, S.
Corresponding author
Vaidya, Saurabh
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
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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