Skip to main content
Erschienen in: Innovations in Systems and Software Engineering 1/2023

12.12.2022 | S.i. : Intelligence for Systems and Software Engineering

Smart automation in manufacturing process using industrial internet of things (IIoT) architecture

verfasst von: Jasjeet Singh, C. Banerjee, Santosh K. Pandey

Erschienen in: Innovations in Systems and Software Engineering | Ausgabe 1/2023

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

In the recent years, the manufacturing sector has greatly benefited from the implementation of artificial intelligence. It has become a potential significant area for researchers as well as businesses all over the globe. Needless to say, various terminology, such as Intelligent Manufacturing, Smart Manufacturing, and Innovative Manufacturing, terms are being used by many academicians and researchers which could be depicted as comparable concepts. Despite all the facts stated, very little consideration has been given to such concepts from an evolutionary point of view. To address this knowledge gap, the current study conducts a descriptive and analytical review of the concepts mentioned above in order to examine the intrinsic distinctions among these concepts and to elucidate the connection between them. At the same time, to deal with the complexity, increase information awareness, improving process achievement, as well as obtain competitiveness in the global economy, the contemporary manufacturing sector is investing in infrastructure technology such as the Internet of Things (IoT), data analytics, cloud services, as well as information security. These advancements are quickly allowing a new age of smart factory, i.e., a malware network that intimately getting manufacturing companies with digital businesses in internet. Achieving the maximum potential of malware networks is heavily reliant on the creation of new approaches for information technical breakthroughs on the Internet of Manufacturing Things (IoMT). This paper presents a concept for intelligent technology in manufacturing techniques based on the Industrial Internet of Things (IIoT) design, as well as its future potential areas of research.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Literatur
1.
Zurück zum Zitat Tuptuk N, Hailes S (2018) Security of smart manufacturing systems. J Manuf Syst 47:93–106CrossRef Tuptuk N, Hailes S (2018) Security of smart manufacturing systems. J Manuf Syst 47:93–106CrossRef
2.
Zurück zum Zitat Basole A, Narayan A (2018) Long-run performance of the organised manufacturing sector in India: aggregate trends and industry-level variation. SWI Background Paper, 19 Basole A, Narayan A (2018) Long-run performance of the organised manufacturing sector in India: aggregate trends and industry-level variation. SWI Background Paper, 19
3.
Zurück zum Zitat Khan MJ, Mishra A (2019) Role of CAD/CAM in designing challenges facing in manufacturing industry and developing manufacturing in modern manufacturing technology. Int Res J Eng Technol 6(8):453–457 Khan MJ, Mishra A (2019) Role of CAD/CAM in designing challenges facing in manufacturing industry and developing manufacturing in modern manufacturing technology. Int Res J Eng Technol 6(8):453–457
4.
Zurück zum Zitat Phuyal S, Bista D, Bista R (2020) Challenges, opportunities and future directions of smart manufacturing: a state of art review. Sustain Futur 2:100023CrossRef Phuyal S, Bista D, Bista R (2020) Challenges, opportunities and future directions of smart manufacturing: a state of art review. Sustain Futur 2:100023CrossRef
5.
Zurück zum Zitat Wang B, Tao F, Fang X, Liu C, Liu Y, Freiheit T (2021) Smart manufacturing and intelligent manufacturing: a comparative review. Engineering 7(6):738–757CrossRef Wang B, Tao F, Fang X, Liu C, Liu Y, Freiheit T (2021) Smart manufacturing and intelligent manufacturing: a comparative review. Engineering 7(6):738–757CrossRef
6.
Zurück zum Zitat Rais MH, Awad RA, Lopez J Jr, Ahmed I (2021) JTAG-based PLC memory acquisition framework for industrial control systems. Forensic Sci Int: Digit Invest 37:301196 Rais MH, Awad RA, Lopez J Jr, Ahmed I (2021) JTAG-based PLC memory acquisition framework for industrial control systems. Forensic Sci Int: Digit Invest 37:301196
7.
Zurück zum Zitat Kamel K, Kamel E (2020) PLC batch process control design and implementation fundamentals. J Electron 2(03):155–161 Kamel K, Kamel E (2020) PLC batch process control design and implementation fundamentals. J Electron 2(03):155–161
9.
Zurück zum Zitat Fatima Z, Tanveer MH, Zardari S, Naz LF, Khadim H, Ahmed N, Tahir M (2022) Production plant and warehouse automation with IoT and industry. Appl Sci 12(4):2053CrossRef Fatima Z, Tanveer MH, Zardari S, Naz LF, Khadim H, Ahmed N, Tahir M (2022) Production plant and warehouse automation with IoT and industry. Appl Sci 12(4):2053CrossRef
10.
Zurück zum Zitat Li DX et al (2019) Internet of things in industries: a survey. IEEE Trans Ind Informat 10(4):2233–2243CrossRef Li DX et al (2019) Internet of things in industries: a survey. IEEE Trans Ind Informat 10(4):2233–2243CrossRef
11.
Zurück zum Zitat Grigorescu RM, Grigore ME, Iancu L, Ghioca P, Ion RM (2019) Waste electrical and electronic equipment: a review on the identification methods for polymeric materials. Recycling 4(3):32CrossRef Grigorescu RM, Grigore ME, Iancu L, Ghioca P, Ion RM (2019) Waste electrical and electronic equipment: a review on the identification methods for polymeric materials. Recycling 4(3):32CrossRef
Metadaten
Titel
Smart automation in manufacturing process using industrial internet of things (IIoT) architecture
verfasst von
Jasjeet Singh
C. Banerjee
Santosh K. Pandey
Publikationsdatum
12.12.2022
Verlag
Springer London
Erschienen in
Innovations in Systems and Software Engineering / Ausgabe 1/2023
Print ISSN: 1614-5046
Elektronische ISSN: 1614-5054
DOI
https://doi.org/10.1007/s11334-022-00504-z

Weitere Artikel der Ausgabe 1/2023

Innovations in Systems and Software Engineering 1/2023 Zur Ausgabe

S.i. : Intelligence for Systems and Software Engineering

Correlation analysis between different parameters to predict cement logistics

S.I.: Intelligence for Systems and Software Engineering

A systematic method for diagnosis of hepatitis disease using machine learning

Premium Partner