Abstract
Growing significance of big data in modern industry is becoming a serious challenge. Manufacturing stores data more than any other sector. Therefore, Industry 4.0 is introduced. However, this phenomenon and most of its enabling technologies are not well defined and they are still under-research. There is a huge confusion to understand what Industry 4.0 is. Consequently, this study addresses this gap by mainly discussing the existing definitions of Industry 4.0 and proposes a new definition intending to create an understanding of the topic for academics and industrials. Moreover, some of the key challenges in adopting Industry 4.0 strategy including data security and privacy concerns, technology standardisation, lack of experience, cost of implementation, stability and reliability are discussed. Additionally, the study explores the main benefits of Industry 4.0 implementation which include a better health and safety system of the workforce, reduced labour costs, higher levels of productivity, more efficient supply chains, big data management, and therefore increased revenues and profits.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Del-Aguila Obra, A.R., Camara, S.B., Melendez, A.P.: Internet usage and competitive advantage: the impact of the Internet on an old economy industry in Spain. Internet Res. 12(5), 391 (2002)
Osei, V.: The construction industry and its linkages to the Ghanaian economy–polices to improve the sector’s performance. Int. J. Dev. Econ. Sustain. 1(1), 56–72 (2013)
Liebert, A.: Industry 4.0–the intended impact of cyber physical systems in a smart factory on the daily business processes: a study on BMW (UK) Manufacturing Limited (2016)
Jazdi, N.: Cyber physical systems in the context of Industry 4.0. In: IEEE International Conference on Automation, Quality and Testing, Robotics, 2014, pp. 1–4. IEEE, May 2014
Glas, A.H., Kleemann, F.C.: The impact of industry 4.0 on procurement and supply management: a conceptual and qualitative analysis. Int. J. Bus. Manag. Inven. 5(6), 55–66 (2016)
Almada-Lobo, F.: The Industry 4.0 revolution and the future of manufacturing execution systems (MES). J. Innov. Manag. 3(4), 16–21 (2016)
Hermann, M., Pentek, T., Otto, B.: Design principles for industrie 4.0 scenarios. In: 49th Hawaii International Conference on System Sciences (HICSS), 2016, pp. 3928–3937. IEEE, January 2016
Lee, J., Bagheri, B., Kao, H.A.: A cyber-physical systems architecture for industry 4.0-based manufacturing systems. Manuf. Lett. 3, 18–23 (2015)
Schmidt, R., Möhring, M., Härting, R.C., Reichstein, C., Neumaier, P., Jozinović, P.: Industry 4.0-potentials for creating smart products: empirical research results. In: International Conference on Business Information Systems, pp. 16–27. Springer, Cham, June 2015
Sendler, U. (Ed.): Industrie 4.0: Beherrschung der industriellen Komplexität mit SysLM. Springer-Verlag (2013)
Hofmann, E., Rüsch, M.: Industry 4.0 and the current status as well as future prospects on logistics. Comput. Ind. 89, 23–34 (2017)
Monostori, L., Kádár, B., Bauernhansl, T., Kondoh, S., Kumara, S., Reinhart, G., Sauer, O., Schuh, G., Sihn, W., Ueda, K.: Cyber-physical systems in manufacturing. CIRP Ann. Manuf. Technol. 65(2), 621–641 (2016)
Rajkumar, R.R., Lee, I., Sha, L., Stankovic, J.: Cyber-physical systems: the next computing revolution. In: Proceedings of the 47th Design Automation Conference, pp. 731–736. ACM, June 2010
Möller, D.P.: Guide to Computing Fundamentals in Cyber-Physical Systems: Concepts, Design Methods, and Applications. Springer, UK (2016)
Radziwon, A., Bilberg, A., Bogers, M., Madsen, E.S.: The smart factory: exploring adaptive and flexible manufacturing solutions. Procedia Eng. 69, 1184–1190 (2014)
Roblek, V., Meško, M., Krapež, A.: A complex view of industry 4.0. SAGE Open 6(2), 2158244016653987 (2016)
Li, X., Li, D., Wan, J., Vasilakos, A.V., Lai, C.F., Wang, S.: A review of industrial wireless networks in the context of industry 4.0. Wirel. Netw. 23(1), 23–41 (2017)
Pfohl, H., Yahsi, B., Kurnaz, T.: The Impact of Industry Supply Chain (2015)
Shrouf, F., Ordieres, J., & Miragliotta, G.: 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. In: IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), 2014, pp. 697–701. IEEE, December 2014
Da Xu, L., He, W., Li, S.: Internet of things in industries: a survey. IEEE Trans. Industr. Inf. 10(4), 2233–2243 (2014)
Dassisti, M., Panetto, H., Lezoche, M., Merla, P., Semeraro, C., Giovannini, A., Chimienti, M.: Industry 4.0 paradigm: the viewpoint of the small and medium enterprises. In: 7th International Conference on Information Society and Technology, ICIST 2017, vol. 1, pp. 50–54, March 2017
Lee, J., Kao, H.A., Yang, S.: Service innovation and smart analytics for industry 4.0 and big data environment. Procedia Cirp, 16, 3–8 (2014)
Rüßmann, M., Lorenz, M., Gerbert, P., Waldner, M., Justus, J., Engel, P., Harnisch, M.: Industry 4.0: the future of productivity and growth in manufacturing industries. Boston Consulting Group (2015)
Schuh, G., Potente, T., Varandani, R., Hausberg, C., Fränken, B.: Collaboration moves productivity to the next level. Procedia Cirp 17, 3–8 (2014)
Li, S., Da Xu, L., Zhao, S.: The internet of things: a survey. Inf. Syst. Front. 17(2), 243–259 (2015)
Pretz, K.: The next evolution of the internet. IEEE Magazine. The institute 50(5) (2013)
Lim, M.K., Bahr, W., Leung, S.C.: RFID in the warehouse: a literature analysis (1995–2010) of its applications, benefits, challenges and future trends. Int. J. Prod. Econ. 145(1), 409–430 (2013)
Zuo, Y., Tao, F., Nee, A.Y.C.: An Internet of things and cloud-based approach for energy consumption evaluation and analysis for a product. Int. J. Comput. Integr. Manuf. 1–12 (2017)
Eleftheriadis, R.J., Myklebust, O., Li, J., Li, B., Qian, H., Shen, N., Sharma, V.S.: A quality pathway to digitalization in manufacturing thru zero defect (2016)
Li, S., Da Xu, L.: Securing the internet of things. Syngress (2017)
Yang, Y., Wu, L., Yin, G., Li, L., Zhao, H.: A survey on security and privacy issues in internet-of-things. IEEE Internet Things J. 4 (2017)
Perera, C., Liu, C.H., Jayawardena, S., Chen, M.: A survey on internet of things from industrial market perspective. IEEE Access 2, 1660–1679 (2014)
Xu, X.: From cloud computing to cloud manufacturing. Robot. Comput. Integr. Manuf. 28(1), 75–86 (2012)
Hewitt, C.: ORGs for scalable, robust, privacy-friendly client cloud computing. IEEE Internet Comput. 12(5), 96–99 (2008)
Ai, Q.S., Mo, K., Wang, Y., Zhao, L.: Research of product information sharing system based on cloud manufacturing. Appl. Mech. Mater. 248, 533–538 (2013). Trans Tech Publications
Li, B.H., Zhang, L., Ren, L., Chai, X.D., Tao, F., Luo, Y.L., Wang, Y.Z., Yin, C., Huang, G., Zhao, X.: Further discussion on cloud manufacturing. Comput. Integr. Manuf. Syst. 17(3), 449–457 (2011)
Li, B.H., Zhang, L., Wang, S.L., Tao, F., Cao, J.W., Jiang, X.D., Song, X., Chai, X.D.: Cloud manufacturing: a new service-oriented networked manufacturing model. Comput. Integr. Manuf. Syst. 16(1), 1–7 (2010)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Ojra, A. (2019). Revisiting Industry 4.0: A New Definition. In: Arai, K., Kapoor, S., Bhatia, R. (eds) Intelligent Computing. SAI 2018. Advances in Intelligent Systems and Computing, vol 858. Springer, Cham. https://doi.org/10.1007/978-3-030-01174-1_88
Download citation
DOI: https://doi.org/10.1007/978-3-030-01174-1_88
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-01173-4
Online ISBN: 978-3-030-01174-1
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)