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Industry 4.0 Technologies Impacts in the Manufacturing and Supply Chain Landscape: An Overview

  • Chiara CiminiEmail author
  • Giuditta Pezzotta
  • Roberto Pinto
  • Sergio Cavalieri
Conference paper
Part of the Studies in Computational Intelligence book series (SCI, volume 803)

Abstract

Nowadays, we are in the middle of the Fourth Industrial Revolution, also known as Industry 4.0. A set of technologies applied to the manufacturing landscape gives birth to a new concept of factory in which every product, device, machine and process is interconnected to the others, composing Cyber-Physical Systems able to communicate with each other, resulting in a very high degree of automation. The aim of this paper is to present the technological advances, which are at the basis of Industry 4.0 in order to assess the impacts of implementing such technologies in manufacturing, transforming traditional factories into smart factories. An overview focusing on the technologies applied at different stages of the supply chain is presented. Finally, the paper discusses theoretical and practical implications of introducing Industry 4.0 in industrial scenarios.

Keywords

Industry 4.0 Smart Manufacturing Smart Factory Smart supply chain 

References

  1. 1.
    Bauernhansl, T., Ten Hompel, M., Vogel-Heuser, B.: Industry 4.0 in Production, Automation and Logistics: Application, Technologies and Migration. Springer, Wiesbaden (2014). (in German)Google Scholar
  2. 2.
    Erol, S., Schumacher, A., Sihn, W.: Strategic guidance towards Industry 4.0–a three-stage process model. In: International Conference on Competitive Manufacturing (2016)Google Scholar
  3. 3.
    Brettel, M., Friederichsen, N., Keller, M., Rosenberg, M.: How virtualization, decentralization and network building change the manufacturing landscape: an Industry 4.0 perspective. Int. J. Mech. Ind. Sci. Eng. 8, 37–44 (2014)Google Scholar
  4. 4.
    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: Abramowicz, W. (ed.) Business Information Systems, pp. 16–27. Springer, Cham (2015)CrossRefGoogle Scholar
  5. 5.
    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. Invent. 5, 55–66 (2016)Google Scholar
  6. 6.
    Radziwon, A., Bilberg, A., Bogers, M., Madsen, E.S.: The smart factory: exploring adaptive and flexible manufacturing solutions. Procedia Eng. 69, 1184–1190 (2014)CrossRefGoogle Scholar
  7. 7.
    Felser, W., Kirsch, A., Kletti, J., Wießler, J., Meuser, D.: Industrie 4.0 Compact. NetSkill Solutions (2015). (in German)Google Scholar
  8. 8.
    Cepin, M., Bris, R.: Safety and Reliability, Theory and Applications. CRC Press, Boca Raton (2017)CrossRefGoogle Scholar
  9. 9.
    Kang, H.S., Lee, J.Y., Choi, S., Kim, H., Park, J.H., Son, J.Y., Kim, B.H., Noh, S.D.: Smart manufacturing: past research, present findings, and future directions. Int. J. Precis. Eng. Manuf. Green Technol. 3, 111–128 (2016)CrossRefGoogle Scholar
  10. 10.
    Spencer, B.F., Ruiz-Sandoval, M.E., Kurata, N.: Smart sensing technology: opportunities and challenges. Struct. Control Health Monit. 11, 349–368 (2004)CrossRefGoogle Scholar
  11. 11.
    Gilchrist, A.: Industry 4.0 The Industrial Internet of Things. Apress, New York (2016)Google Scholar
  12. 12.
    German Trade & Invest: Industrie 4.0 Smart manufacturing for the future (2014)Google Scholar
  13. 13.
    Wu, D., Greer, M.J., Rosen, D.W., Schaefer, D.: Cloud manufacturing: strategic vision and state-of-the-art. J. Manuf. Syst. 32, 564–579 (2013)CrossRefGoogle Scholar
  14. 14.
    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 9 (2015)Google Scholar
  15. 15.
    Zuehlke, D.: SmartFactory-towards a factory-of-things. Annu. Rev. Control 34, 129–138 (2010)CrossRefGoogle Scholar
  16. 16.
    Khan, A., Turowski, K.: A survey of current challenges in manufacturing industry and preparation for Industry 4.0. In: Abraham, A., Kovalev, S., Tarassov, V., Snášel, V. (eds.) Proceedings of the First International Scientific Conference “Intelligent Information Technologies for Industry” (IITI 2016), pp. 15–26. Springer (2016)Google Scholar
  17. 17.
    Park, H.S.: From automation to autonomy—a new trend for smart manufacturing. In: Katalinic, B., Tekic, Z. (eds.) DAAAM International Scientific Book, pp. 75–110. DAAAM International Vienna, Vienna (2013)Google Scholar
  18. 18.
    Syberfeldt, A., Holm, M., Danielsson, O., Wang, L., Brewster, R.L.: Support systems on the industrial shop-floors of the future—operators’ perspective on augmented reality. Procedia CIRP 44, 108–113 (2016)CrossRefGoogle Scholar
  19. 19.
    Mittal, S., Khan, M., Romero, D., Wuest, T.: Smart manufacturing: characteristics, technologies and enabling factors (2017)Google Scholar
  20. 20.
    Brussel, H.V., Wyns, J., Valckenaers, P., Bongaerts, L., Peeters, P.: Reference architecture for holonic manufacturing systems. In: PROSA. Computer in Industry, pp. 255–274. Elsevier (1998)Google Scholar
  21. 21.
    Leitao, P., Restivo, F.J.: Implementation of a holonic control system in a flexible manufacturing system. Trans. Syst. Man Cybern. C 38, 699–709 (2008)CrossRefGoogle Scholar
  22. 22.
    Borangiu, T.: A service-orientated architecture for holonic manufacturing control. In: Rudas, I.J., Fodor, J., Kacprzyk, J. (eds.) Towards Intelligent Engineering and Information Technology, pp. 489–503. Springer, Heidelberg (2009)CrossRefGoogle Scholar
  23. 23.
    Valckenaers, P., Cavalieri, S., Germain, B.S., Verstraete, P., Hadeli, Bandinelli, R., Terzi, S., Brussel, H.V.: A benchmarking service for the manufacturing control research community. J. Intell. Manuf. 17, 667–679 (2006)Google Scholar
  24. 24.
    Reimer, H., Pohlmann, N., Schneider, W.: ISSE 2015: Highlights of the Information Security Solutions Europe 2015 Conference. Springer (2015)Google Scholar
  25. 25.
    Lee, J.: Smart Factory Systems. Inform.-Spektrum. 38, 230–235 (2015)CrossRefGoogle Scholar
  26. 26.
    Lucke, D., Constantinescu, C., Westkämper, E.: Smart factory—a step towards the next generation of manufacturing. In: Mitsuishi, M., Ueda, K., Kimura, F. (eds.) Manufacturing Systems and Technologies for the New Frontier, pp. 115–118. Springer, London (2008)CrossRefGoogle Scholar
  27. 27.
    Davis, J., Edgar, T., Porter, J., Bernaden, J., Sarli, M.: Smart manufacturing, manufacturing intelligence and demand-dynamic performance. Comput. Chem. Eng. 47, 145–156 (2012)CrossRefGoogle Scholar
  28. 28.
  29. 29.
    Schuh, G., Potente, T., Hauptvogel, A., Wesch-Potente, C.: Sustainable increase of overhead productivity due to cyber-physical-systems. Univ.-Verl. der TU (2013)Google Scholar
  30. 30.
    Wang, S., Wan, J., Zhang, D., Li, D., Zhang, C.: Towards smart factory for Industry 4.0: a self-organized multi-agent system with big data based feedback and coordination. Comput. Netw. 101, 158–168 (2016)CrossRefGoogle Scholar
  31. 31.
    Geissbauer, R., Vedso, J., Schrauf, S.: Industry 4.0: building the digital enterprise. https://www.pwc.com/gx/en/industries/industries-4.0/landing-page/industry-4.0-building-your-digital-enterprise-april-2016.pdf
  32. 32.
    Arnold, C., Kiel, D., Voigt, K.-I.: How Industry 4.0 changes business models in different manufacturing industries. In: ISPIM Innovation Symposium, p. 1. The International Society for Professional Innovation Management (ISPIM) (2016)Google Scholar
  33. 33.
  34. 34.
    Prifti, L., Knigge, M., Kienegger, H., Krcmar, H.: A competency model for “Industrie 4.0” employees (2017)Google Scholar
  35. 35.
    American Council for an Energy-Efficient Economy: Intelligent efficiency: opportunities, barriers, and solutions. http://aceee.org/research-report/e13j
  36. 36.
    Kagermann, H., Helbig, J., Hellinger, A., Wahlster, W.: 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 (2013)Google Scholar
  37. 37.
    Zhou, W., Piramuthu, S.: Manufacturing with item-level RFID information: from macro to micro quality control. Int. J. Prod. Econ. 135, 929–938 (2012)CrossRefGoogle Scholar
  38. 38.
    Broy, M., Cengarle, M.V., Geisberger, E.: Cyber-physical systems: imminent challenges. In: Proceedings of the 17th Monterey Conference on Large-Scale Complex IT Systems: Development, Operation and Management, pp. 1–28. Springer, Berlin (2012)Google Scholar
  39. 39.
    Lasi, H., Fettke, P., Kemper, H.-G., Feld, T., Hoffmann, M.: Industry 4.0. Bus. Inf. Syst. Eng. 6, 239–242 (2014)CrossRefGoogle Scholar
  40. 40.
    Tolio, T., Sacco, M., Terkaj, W., Urgo, M.: Virtual factory: an integrated framework for manufacturing systems design and analysis. Procedia CIRP 7, 25–30 (2013)CrossRefGoogle Scholar
  41. 41.
    Thoben, K.D.: “Industrie 4.0” and smart manufacturing—a review of research issues and application examples. Int. J. Autom. Technol. 11, 4–16 (2017)CrossRefGoogle Scholar
  42. 42.
    Qin, J., Liu, Y., Grosvenor, R.: A categorical framework of manufacturing for Industry 4.0 and beyond. Procedia CIRP 52, 173–178 (2016)CrossRefGoogle Scholar
  43. 43.
    Neugebauer, R., Hippmann, S., Leis, M., Landherr, M.: Industrie 4.0—from the perspective of applied research. Procedia CIRP 57, 2–7 (2016)CrossRefGoogle Scholar
  44. 44.
    Möller, D.P.F.: Digital manufacturing/Industry 4.0. In: Möller, D.P.F. (ed.) Guide to Computing Fundamentals in Cyber-Physical Systems, pp. 307–375. Springer, Cham (2016)CrossRefGoogle Scholar
  45. 45.
    Schuh, G., Potente, T., Wesch-Potente, C., Weber, A.R., Prote, J.-P.: Collaboration mechanisms to increase productivity in the context of Industrie 4.0. Procedia CIRP 19, 51–56 (2014)CrossRefGoogle Scholar
  46. 46.
    Crnjac, M., Veža, I., Banduka, N.: From concept to the introduction of Industry 4.0. Int. J. Ind. Eng. Manag. 8, 21 (2017)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Chiara Cimini
    • 1
    Email author
  • Giuditta Pezzotta
    • 1
  • Roberto Pinto
    • 1
  • Sergio Cavalieri
    • 1
  1. 1.Department of Management, Information and Industrial EngineeringUniversity of BergamoDalmineItaly

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