Skip to main content

Industry 4.0: An Indian Perspective

  • Conference paper
  • First Online:

Part of the book series: IFIP Advances in Information and Communication Technology ((IFIPAICT,volume 630))

Abstract

Industry 4.0 technologies have changed the manufacturing trends in global industries. Industries are adopting Industry 4.0 business models to complete mass customized demands and to compete with global industries. Industry 4.0 can be considered as the current trend of data exchange in manufacturing processes and automation. In India, Industry 4.0 is in its initial stages where the terms digitalization and Industry 4.0 are more widely accepted than fourth industrial revolution. The research work on Industry 4.0 is still limited in India. However, the Government of India has launched some policies and initiatives related to Industry 4.0 and its technologies. The main aim of this paper (1) to provide the more depth insight about the Industry 4.0 and similar terms. (2) to suggest the policies related to India for the transition to Industry 4.0. Indian industries should consider the Industry 4.0 practices seriously as they are shifting their business models from traditional to Industry 4.0 business models. Some issues related to Industry 4.0 implementation like cyber security, machine-to-machine interaction, reliability and stability of CPS should be considered in a better way. In this paper we have discussed about the different initiative by Government of India related for Industry 4.0 technologies. There is need to work on (1) Initiatives related to high investments and technological developments in SMEs and MSMEs industry sectors (2) Identification of infrastructure facilities required for Industry 4.0 and current readiness score of industries. (3) Initiatives related to awareness about Industry 4.0 benefits for industries as well as society.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   149.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   199.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   199.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Kim, J.H.: A review of cyber-physical system research relevant to the emerging IT trends: industry 4.0, IoT, big data, and cloud computing. J. Ind. Integr. Manage. 2, 1750011 (2017)

    Google Scholar 

  2. Machado, C.G., Winroth, M.P., Ribeiro da Silva, E.H.D.: Sustainable manufacturing in Industry 4.0: an emerging research agenda. Int. J. Prod. Res. 58, 1462–1484 (2020). https://doi.org/10.1080/00207543.2019.1652777

  3. Alcácer, V., Cruz-Machado, V.: Scanning the industry 4.0: a literature review on technologies for manufacturing systems. Eng. Sci. Technol. Int. J. 22, 899–919 (2019). https://doi.org/10.1016/j.jestch.2019.01.006

  4. Raj, A., Dwivedi, G., Sharma, A., Lopes de Sousa Jabbour, A.B., Rajak, S.: Barriers to the adoption of industry 4.0 technologies in the manufacturing sector: an inter-country comparative perspective. Int. J. Prod. Econ. 224, 107546–107546 (2020). https://doi.org/10.1016/j.ijpe.2019.107546

  5. Chen, G., Wang, P., Feng, B., Li, Y., Liu, D.: The framework design of smart factory in discrete manufacturing industry based on cyber-physical system. Int. J. Comput. Integr. Manuf. 33, 79–101 (2020). https://doi.org/10.1080/0951192X.2019.1699254

    Article  Google Scholar 

  6. Latorre-Biel, J.-I., Faulín, J., Juan, A.A., Jiménez-Macías, E.: Petri net model of a smart factory in the frame of industry 4.0. IFAC-PapersOnLine 51, 266–271 (2018). https://doi.org/10.1016/j.ifacol.2018.03.046

  7. Lopes de Sousa Jabbour, A.B., Jabbour, C.J.C., Godinho Filho, M., Roubaud, D.: Industry 4.0 and the circular economy: a proposed research agenda and original roadmap for sustainable operations. Ann. Oper. Res. 270(1–2), 273–286 (2018). https://doi.org/10.1007/s10479-018-2772-8

    Article  MATH  Google Scholar 

  8. de Sousa Jabbour, A.B.L., Jabbour, C.J.C., Foropon, C., Filho, M.G.: When titans meet – Can industry 4.0 revolutionise the environmentally-sustainable manufacturing wave? The role of critical success factors. Technol. Forecast. Soc. Change 132, 18–25 (2018). https://doi.org/10.1016/j.techfore.2018.01.017

  9. Yadav, G., Kumar, A., Luthra, S., Garza-Reyes, J.A., Kumar, V., Batista, L.: A framework to achieve sustainability in manufacturing organisations of developing economies using industry 4.0 technologies’ enablers. Comput. Ind. 122 (2020). https://doi.org/10.1016/j.compind.2020.103280

  10. Jamwal, A., Agrawal, R., Sharma, M., Kumar, V., Kumar, S.: Developing a sustainability framework for industry 4.0. Proc. CIRP. 98, 430–435 (2021)

    Google Scholar 

  11. Sung, T.K.: Industry 4.0: a Korea perspective. Technol. Forecast. Soc. Change 132, 40–45 (2018)

    Google Scholar 

  12. Mittal, S., Khan, M.A., Romero, D., Wuest, T.: A critical review of smart manufacturing & Industry 4.0 maturity models: Implications for small and medium-sized enterprises (SMEs). J. Manuf. Syst. 49, 194–214 (2018).

    Google Scholar 

  13. Akdil, K.Y., Ustundag, A., Cevikcan, E.: Maturity and readiness model for industry 4.0 strategy. In: Industry 4.0: Managing The Digital Transformation. SSAM, pp. 61–94. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-57870-5_4

    Chapter  Google Scholar 

  14. Bajic, B., Cosic, I., Lazarevic, M., Sremcev, N., Rikalovic, A.: Machine learning techniques for smart manufacturing: applications and challenges in industry 4.0. department of industrial engineering and management Novi Sad, Serbia, vol. 29 (2018)

    Google Scholar 

  15. Jamwal, A., Agrawal, R., Sharma, M., Kumar, A., Kumar, V., Garza-Reyes, J.A.A.: Machine learning applications for sustainable manufacturing: a bibliometric-based review for future research. J. Enterprise Inf. Manage. (2021). https://doi.org/10.1108/JEIM-09-2020-0361. ahead-of-print

  16. Adenuga, O.T., Mpofu, K., Ramatsetse, B.I.: Exploring energy efficiency prediction method for Industry 4.0: A reconfigurable vibrating screen case study. In: Vosniakos G.-C., M.A., Pellicciari M.,. Benardos P. (ed.) Procedia Manufacturing, pp. 243–250. Elsevier B.V. (2020). https://doi.org/10.1016/j.promfg.2020.10.035

  17. Brozzi, R., Forti, D., Rauch, E., Matt, D.T.: The advantages of industry 4.0 applications for sustainability: results from a sample of manufacturing companies. Sustainability (Switzerland) 12, (2020). https://doi.org/10.3390/su12093647

  18. Felstead, M.: Cyber-physical production systems in industry 4.0: Smart factory performance, innovation-driven manufacturing process innovation, and sustainable supply chain networks. Econ. Manage. Financ. Markets 14, 37–43 (2019). https://doi.org/10.22381/EMFM14420195

  19. Osterrieder, P., Budde, L., Friedli, T.: The smart factory as a key construct of industry 4.0: a systematic literature review. Int. J. Prod. Econ. 221, 107476–107476 (2020). https://doi.org/10.1016/j.ijpe.2019.08.011

  20. Baur, C., Wee, D.: Manufacturing’s Next Act. McKinsey & Company, vol. 6 (2015)

    Google Scholar 

  21. Krishnan, S., Gupta, S., Kaliyan, M., Kumar, V., Garza-Reyes, J.A.: Assessing the key enablers for Industry 4.0 adoption using MICMAC analysis: a case study. Int. J. Product. Perform. Manage. (2021)

    Google Scholar 

  22. Safar, L., Sopko, J., Dancakova, D., Woschank, M.: Industry 4.0-awareness in South India. Sustainability (Switzerland) 12, 3207–3207 (2020). https://doi.org/10.3390/SU12083207

  23. Dutta, G., Kumar, R., Sindhwani, R., Singh, R.K.: Digital transformation priorities of India’s discrete manufacturing SMEs – a conceptual study in perspective of Industry 4.0. Competitiv. Rev. 289–314 (2020). https://doi.org/10.1108/CR-03-2019-0031

  24. Talib, S., Sharma, A., Gupta, S., Gaurav, G., Pathak, V., Shukla, R.K.: Analysis of Influential enablers for sustainable smart manufacturing in Indian manufacturing industries using TOPSIS approach. In: Phanden, R.K., Mathiyazhagan, K., Kumar, R., Paulo Da-vim, J. (eds.) Advances in Industrial and Production Engineering, pp. 621-628. Springer, Singapore (2021)

    Google Scholar 

  25. Aggarwal, A., Gupta, S., Ojha, M.K.: Evaluation of key challenges to industry 4.0 in Indian context: a DEMATEL approach. In: Shanker, K., Shankar, R., Sindhwani, R. (eds.) Advances in Industrial and Production Engineering. LNME, pp. 387–396. Springer, Singapore (2019). https://doi.org/10.1007/978-981-13-6412-9_37

  26. Jamwal, A., Agrawal, R., Sharma, M., Kumar, V.: Review on multi-criteria decision analysis in sustainable manufacturing decision making Int. J. Sustain. Eng. (2020). https://doi.org/10.1080/19397038.2020.1866708

    Article  Google Scholar 

  27. Kamble, S.S., Gunasekaran, A., Ghadge, A., Raut, R.: A performance measurement system for industry 4.0 enabled smart manufacturing system in SMMEs- a review and empirical investigation. Int. J. Prod. Econ. 229 (2020)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Rajeev Agrawal .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 IFIP International Federation for Information Processing

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Jamwal, A., Agrawal, R., Sharma, M., Pratap, S. (2021). Industry 4.0: An Indian Perspective. In: Dolgui, A., Bernard, A., Lemoine, D., von Cieminski, G., Romero, D. (eds) Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems. APMS 2021. IFIP Advances in Information and Communication Technology, vol 630. Springer, Cham. https://doi.org/10.1007/978-3-030-85874-2_12

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-85874-2_12

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-85873-5

  • Online ISBN: 978-3-030-85874-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics