Abstract
Industry 4.0 refers to the digital transformation of industrial markets, specifically the manufacturing industry. Industry 4.0 has evolved from a German manufacturing industry competitiveness initiative I4.0 to a worldwide accepted term which refers to industrial transformation in distinct and process industrial production which is a synonym with fourth industrial revolution which represents the modern control systems embedded with software systems and dispose of an Internet address to connect and be addressed via IoT (the Internet of Things) using smart machines. The fourth industrial revolution or Industry 4.0 gives further advancement in technology in the form of the internet of things (IoT), data science, big data, cloud computing, block chain and artificial intelligence where all these technologies are changing the way we live, work and amuse us. Moreover, these technologies can contribute to developing hyper automation and hyper-connectivity. It fuels the improvements in science and technology in which IoT (internet of Things) and its associated technologies serve as the pillars of Cyber-Physical Systems (CPS) where smart machines are used as agents to optimize production chains. Such kind of advancement goes out of the organizational and national boundaries, comprising agility, intelligence and networking. Digitalization in the industrial sector surely promises a lower cost of production and improved quality in production. It also avails flexibility and efficiency, shorter response time to customer requests and market demands. Thus, industry 4.0 opens the door towards innovative business opportunities and this paper attempts to give the concept one which provides the basic foundation of Industry 4.0 and opportunities for the future business world.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Kumar, S.; Suhaib, M.; Asjad, M. Industry 4.0: Complex, disruptive, but inevitable. Manag. Prod. Eng. Rev. 2020, 11, 43–51.
Oberg, C. and Graham, G. (2016), “How smart cities will change supplychain management: a technical viewpoint”, Production Planning & Control, Vol. 27 No. 6, pp. 529–538.
Shrouf, F., Ordieres, J. and Miragliotta, G. (2014), “Smart factories in Industry 4.0: a review of the concept and of energy management approached in production based on the Internet of Things paradigm”, 2014 IEEE International Conference on Industrial Engineering and Engineering Management, IEEE, pp. 697–701.
A.A.F. Saldivar, Y. Li, W.N. Chen, Z.H. Zhan, J. Zhang, L.Y. Chen, 2015 21st Int. Conf. Autom. Comput. Autom. Comput. Manuf. New Econ. Growth, ICAC 2015 (2015) 11–12.
Nunes, M.L., Pereira, A.C. & Alves, A.C., 2017. Smart products development approaches for Industry 4.0. Procedia Manufacturing, 13, pp. 1215–1222.
RavindraSharma, Rakesh Saini, Chandra Prakash and Vinod Prasad (2021) Internet of Things and Businesses in a Disruptive Economy, 1st edn., New York: Nova Science Publishers.
Adamik, A.; Nowicki, M. Preparedness of Companies for Digital Transformation and Creating a Competitive Advantage in the Age of Industry 4.0. Proc. Int. Conf. Bus. Excell. 2018, 12, 10–24.
Kagermann, H., Helbig, J., Hellinger, A., & Wahlster, W. (2013), Recommendations for implementing the strategic initiative INDUSTRIE 4.0: Securing the future of German manufacturing industry; final report of the Industrie 4.0 Working Group. Forschungsunion.
Schumacher, A., Erol, S. and Sihn, W. (2016), “A maturity model forassessing Industry 4.0 readiness and maturity of manufacturing enterprises”, Procedia CIRP, Vol. 52 No. 1, pp. 161–166.
RittinghouseJ W, Ransome J F. Cloud Computing: Implementation, Management, and Security. Boca Raton: CRC Press, 2016.
ZhangY F, Zhang G, Wang J Q, et al. Real-time information capturing and integration framework of the internet of manufacturing things. International Journal of Computer Integrated Manufacturing, 2015, 28(8): 811–822.
Cordes, F.; Stacey, N. Is UK Industry Ready for the Fourth IndustrialRevolution? The Boston Consulting Group: Boston, MA, USA, 2017.
Madsen, D.Ø. The emergence and rise of industry 4.0 viewed through the Lens of management fashion theory. Adm. Sci. 2019, 9, 71.
S.K. Babey, J. E. McFee, C. D. Anger, A. Moise, and S. B. Achal. Feasibility of optical detection of landmine tripwires. In A. C. Dubey et al., editors, Detection and Remediation Technologies for Mines and Minelike Targets V, pages 220–231, Seattle, WA, 2000. International Society for Optical Engineering.
Wahlster, W. (2012), From industry 1.0 to industry 4.0: Towards the 4th industrial revolution. In Forum Business meets Research.
J. Qin, Y. Liu, R. Grosvenor, A Categorical Framework of Manufacturing for Industry 4.0 and Beyond, Changeable, Agile, Reconfigurable & Virtual Production, Procedia CIRP 52 (2016) 173–178.
Hull J. The second industrial revolution and the staples frontier in Canada: rethinking knowledge and history. Sci Can 1994; 18(1):22e37 third industrial revolution. Economist, Special Report.
M. Rüßmann, M. Lorenz, P. Gerbert, M. Waldner, Industry 4.0: The Future of Productivity and Growth in Manufacturing Industries, (April 09, 2015) 1–14.
R. Neugebauer, S. Hippmann, M. Leis, M. Landherr, Industrie 4.0-Form the perspective of applied research, 49th CIRP conference on Manufacturing systems (CIRP-CMS 2016), 2–7.
E. Hofmann, M. Rüsch, Industry 4.0 and the current status as well as future prospects on logistics, Computers in Industry 89 (2017) 23–34, https://doi.org/10.1016/j.compind.2017.04.002. Fig. 26 Research gap between current manufacturing systems and I4.0. Adapted from [132].916V. Alcácer, V. Cruz-Machado/Engineering Science and Technology, an International Journal 22 (2019) 899–919.
Romeo L, Paolanti M, Bocchini G, Loncarski J, Frontoni E. An innovative design support system for industry 4.0 based on machine learning approaches. Proceedings of the 2018 5th International Symposium on Environment-Friendly Energies and Applications 2019.
Singh, R., Gehlot, A., Gupta, D., Rana, G., Sharma, R., & Agarwal, S. (2019). XBee and Internet of Robotic Things Based Worker Safety in Construction Sites.
Lee K. Artificial intelligence, automation, and the economy. The White. House Blog; 2016.
Da Xu L, He W, Li S. Internet of things in industries: A survey. IEEETrans Ind Inf 2014;10(4):2233–43.
Prakash, C., Saini, R., & Sharma, R. (2021). Role of Internet of Things (IoT) in Sustaining Disruptive Businesses. In R. Sharma, R. Saini & C. Prakash, V. Prashad, Role of Internet of Things (IoT) in Sustaining Disruptive Businesses (1st ed.). New York: Nova Science Publishers.
McCarthy, J.; Minsky, M.L.; Rochester, N.; Shannon, C.E. A Proposal forthe Dartmouth Summer Research Project on Artificial Intelligence. AI Mag. 2006, 27, 12.
Moore, A. Carnegie Mellon Dean of Computer Science on the Future of AI. Available online: https://www.forbes.com/sites/peterhigh/2017/10/30/carnegie-mellon-dean-f-computer-science-on-the-future-of-ai/#3a283c652197 (accessed on 7 January 2020).
N. Shukla, M.K. Tiwari, G. Beydoun Next generation smart manufacturing and service systems using big data analytics Computers & Industrial Engineering, 128 (2019), pp. 905–910.
Ravindra Sharma, Ashwini Kumar Saini & Geeta Rana. (2021). Big Data Analytics and Businesses in Industry 4.0. Design Engineering, 2021(02), 238–252.
K. Govindan, T.C.E. Cheng, N. Mishra, N. Shukla Big data analytics and application for logistics and supply chain management Transportation Research Part E: Logistics and Transportation Review, 114 (2018), pp. 343–349.
Chifor B.-C., Bica I., Patriciu V.-V., Pop F.A security authorizationscheme for smart home Internet of Things devices Future Gener. Comput. Syst. (2017), https://doi.org/10.1016/j.future.2017.05.048.
Buyya, et al. Cloud computing and emerging IT platforms: vision, hype, and reality for delivering computing as the 5th utility Future Gener. Comput. Syst., 25 (6) (2009), pp. 599–616.
AmbrosinM., Anzanpour A., Conti M., Dargahi T., Moosavi S.R., Rahmani A.M., Liljeberg P. On the feasibility of attribute-based encryption on Internet of Things devices IEEE Micro, 36 (6) (2016), pp. 25–35.
Rana, G. & Sharma, R. (2019). Emerging human resource management practices in Industry 4.0. Strategic HR Review, 18(4):176–181.
M. b M Noor, W.H. Hassan Current research on internet of things (IoT) security: a survey Comput. Networks, 148 (2019), pp. 283–294.
C. Rong, S.T. Nguyen, M.G. Jaatun Beyond lightning: A survey on security challenges in cloud computing Comput. Elect. Eng., 39 (1) (2013), pp. 47–54.
X. Xu From cloud computing to cloud manufacturing Rob. Comput. Integr. Manuf., 28 (2012), pp. 75–86.
Lee, E. A. (2006). Cyber-physical systems—are computing foundations adequate? NSF Workshop on Cyber-Physical Systems: Research Motivation, Techniques and Roadmap, Austin, Texas.
Rho S., Vasilakos A.V., Chen W.F. Cyber physical systems technologiesand applications Future Gener. Comput. Syst., 56 (2016), pp. 436–437.
Jianhua Ma, Laurence T. Yang, Smart world: Physical-cyber-social-thinking converged world, 2015 Smart World Congress, Beijing, China, August 10–14, 2015.
Fei Hu, Yu Lu, Athanasios V. Vasilakos, Qi Hao, Rui Ma, Yogendra Patil,Ting Zhang, Jiang Lu, Xin Li, Neal N. Xiong, Robust cyber-physical systems: Concept, models, and implementation, Future Gener. Comput. Syst., 56 (2016) 449–475.
Hai Zhuge Cyber-Physical Society — The science and engineering for future society Future Gener. Comput. Syst., 32 (2014), pp. 180–186.
R.T. Azuma A survey of augmented reality Presence Teleoperators Virtual Environ., 6 (4) (1997), pp. 355–385.
McFarlane D., Sarma S., Chirn J.L., Wong C.Y., AshtonK. Auto ID systems and intelligent manufacturing control Eng Appl Artif Intel, 16 (4) (2003), pp. 365–376.
P. Chen, Z. Peng, D. Li, L. Yang An improved augmented reality system based on AndAR J. Vis. Commun. Image Represent., 37 (2016), pp. 63–69 (weakly supervised learning and its applications).
R.Y. Zhong, X. Xu, E. Klotz, S.T. Newman Intelligent Manufacturing in the Context of Industry 4.0: A Review Engineering, 3 (2017), pp. 616–630, https://doi.org/10.1016/J.ENG.2017.05.015.
ShenW.M., Norrie D.H. Agent-based systems for intelligent manufacturing: A state-of-the-art survey Knowl Inf Syst, 1 (2) (1999), pp. 129–156.
Wan J., Tang S., Li D., Wang S., Liu C., Abbas H., et al. A manufacturingbig data solution for active preventive maintenance IEEE Trans Ind Inform, 13 (4) (2017), pp. 2039–2047.
Wang S.Y., Wan J., Li D., Zhang C. Implementing smart factory of Industry 4.0: An outlook Int J Distrib Sens N, 2016 (2016), p. 3159805.
Rana, G., Sharma, R., Rana, S. (2017). The Use of ManagementControl Systems in the Pharmaceutical Industry. International Journal of Engineering Technology, Management and Applied Sciences. Volume 5, Issue 6, 12–23.
Hofmann,Erik, and Marco Rüsch. 2017. Industry 4.0 and the current status as well as future prospects on logistics. Computers in Industry International Journal 89: 23–34.
Antony, Jürgen. 2009. Capital/Labor substitution, capital deepening, andFDI. Journal of Macroeconomics 31:699–707.
Garetti, M., and Taisch, M. (2012). Sustainable manufacturing: trends andresearch challenges. Production Planning & Control, 23(2–3), 83–104.
Zhong, Ray Y., Xun Xu, Eberhard Klotz, and Stephen T. Newman. 2017.Intelligent Manufacturing in the Context of Industry 4.0: A Review. Engineering 3: 616–30.
M.L. Tseng, R.R. Tan, A.S. Chiu, C.F. Chien, T.C. Kuo Circular economy meets industry 4.0: can big data drive industrial symbiosis? Resour. Conserv. Recycl., 131 (2018), pp. 146–147.
M. Ammar, A. Haleem, M. Javaid, R. Walia, S. Bahl, Improving material quality management and manufacturing organizations system through Industry 4.0 technologies, Materials Today: Proceedings. 45 (P6) (2021) 5089–5096.
Kusiak A. Intelligent manufacturing systems Prentice Hall Press, Old Tappan (1990).
Li B., Hou B., Yu W., Lu X., Yang C. Applications of artificial intelligencein intelligent manufacturing: A review Front Inform Tech El, 18 (1) (2017), pp. 86–96.
Kolesnichenko, E. A., Radyukova, Y. Y., & Pakhomov, N. N. (2019). The Role and Importance of Knowledge Economy as a Platform for Formation of Industry 4.0 Industry 4.0: Industrial Revolution of the 21st Century (pp. 73–82): Springer.
Feeney A.B., Frechette S.P., Srinivasan V.A portrait of an ISO STEP tolerancing standard as an enabler of smart manufacturing system J Comput Inf Sci Eng, 15 (2) (2015), p. 021001.
Jen Ling Gan, Halimah Mohd Yusof, “Industrial Revolution 4.0: The Human Resource Practices” International Journal of Recent Technology and Engineering (IJRTE) 2277–3878, Volume-8, Issue-3S2, October 2019.
Nurazwa, A., Seman, N. A. A., & Shamsuddin. (2019). Industry 4.0 implications on human capital: A review. Journal for Studies in Management and Planning, 4(Special Issue-13), 221–235.
Sharma, R., & Rana, G. (2021). Revitalizing Talent Management Practicesthrough Technology Integration in industry 4.0. In R. Sharma, R. Saini & C. Prakash, Role of Internet of Things (IoT) in Sustaining Disruptive Businesses (1st ed.). New York USA: Nova Science Publishers.
Oktay Fırat, S. Ü. (2016). Determining What is Industry 4.0 Transformation and Expectations, Global Industrialists Magazine.
NITI Ayog (2018), “National Strategy for Artificial Intelligence,” Government of India, Discussion Paper, June.
Singh R., Anita G., Capoor S., Rana G., Sharma R., Agarwal S. (2019)Internet of Things Enabled Robot Based Smart Room Automation and Localization System. In: Balas V., Solanki V., Kumar R., Khari M. (eds) Internet of Things and Big Data Analytics for Smart Generation. Intelligent Systems Reference Library, vol 154. Springer, Cham.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this chapter
Cite this chapter
Parashar, B., Sharma, R., Rana, G., Balaji, R.D. (2023). Foundation Concepts for Industry 4.0. In: Nayyar, A., Naved, M., Rameshwar, R. (eds) New Horizons for Industry 4.0 in Modern Business. Contributions to Environmental Sciences & Innovative Business Technology. Springer, Cham. https://doi.org/10.1007/978-3-031-20443-2_3
Download citation
DOI: https://doi.org/10.1007/978-3-031-20443-2_3
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-20442-5
Online ISBN: 978-3-031-20443-2
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)