A management framework to support Industry 4.0 implementation

  • Antonella Petrillo 
  • b Fabio De Felice  
  • a Department of Engineering - University of Naples “Parthenope”, Italy
  • b Department of Civil and Mechanical Engineering - University of Cassino and Southern Lazio, Italy
Cite as
Petrillo A., De Felice F. (2018). A management framework to support Industry 4.0 implementation. Proceedings of the 17th International Conference on Modeling & Applied Simulation (MAS 2018), pp. 113-119. DOI: https://doi.org/10.46354/i3m.2018.mas.018

Abstract

Nowadays, Industry 4.0 has given way to exponential advances in technologies. The implementation of these technologies, should in theory, enable firms to improve efficiencies. But “How to implement them”? The aim of the present research is to propose an empirically model, based on Prado Maturity Model, to assess the Industry 4.0 maturity of Italian industrial enterprises and to structure a strategic growing business plan within the company. The final aim is to develop a “user friendly” but rigorous methodological approach that could be useful both from a scientific and from a practical point of view.

References

  1. Barber, E., 2004. Benchmarking the Management of Projects: a Review of Current Thinking”, International Journal of Project Management, Vol. 22, No. 4, pp. 301-307.
  2. Berger, R., 2014. Industry 4.0 - The new industrial revolution – How Europe will succeed. Roland Berger Strategy Consultants.
  3. De Felice, F., Petrillo, A., Zomparelli, F., 2018. Prospective design of smart manufacturing: An Italian pilot case study. Manufacturing Letters, 15, pp. 81-85.
  4. Erol, S., Schumacher, A., Sihn, W., 2016. Strategic guidance towards Industry 4.0 – a three-stage process model, in Proc. of Interna-tional Conference on Competitive Manufacturing 2016 (COMA16), Stellenbosch, South Africa.
  5. Kagermann, H., W. Wahlster and J. Helbig, eds., 2013: Recommendations for implementing the strategic initiative Industrie 4.0: Final report of the Industrie 4.0 Working Group.
  6. Koch, V., Kuge, S., Geissbauer, R. Schrauf, S., 2014. Industry 4.0: Opportunities and challenges of the industrial internet. Tech. Rep. TR 2014-2, PWC Strategy GmbH, United States, New York City, New York (NY).
  7. Kiel, D., Müller, J., Arnold, C., Voigt, K.-I., 2017. Sustainable Industrial Value Creation: Benefits and Challenges of Industry 4.0. Int. J. Innov. Manag., 21, 1740015.
  8. Longo, F., Nicoletti, L., Padovano, A., 2017. Smart operators in industry 4.0: A human-centered approach to enhance operators’ capabilities and competencies within the new smart factory context. Computers and Industrial Engineering, vol. 113, pp. 144-159.
  9. McKinsey & Company, 2015. Industry 4.0: How to navigate digitization of the manufacturing sector. Tech. rep., McKinsey and Company, New York City, New York (NY).
  10. Leite das Neves, L.A., Nicolini do Patrocínio Nunes, L.E., Alves Corrêa, V., Cerqueira Rezende, M., 2013. Application of the Prado - Project Management Maturity Model at a R&D Institution of the Brazilian Federal Government. J. Aerosp. Technol. Manag., São José dos Campos, Vol.5, No 4, pp.459-465.
  11. Mumtaz, U., Ali, Y., Petrillo, A., 2018. A linear regression approach to evaluate the green supply chain management impact on industrial organizational performance. Science of the Total Environment 624, pp. 162-169.
  12. Oesterreich, T.D., Teuteberg, F., 2016. Understanding the implications of digitisation and automation in the context of Industry 4.0: A triangulation approach and elements of a research agenda for the construction industry. Comput. Ind., 83, 121–139.
  13. Ortíz, M.A., Betancourt, L.E., Negrete, K.P., De Felice, F., Petrillo, A., 2018. Dispatching algorithm for production programming of flexible job-shop systems in the smart factory industry. Annals of Operations Research, 264(1-2), pp. 409-433.
  14. Petrillo, A., De Felice, F., Zomparelli, F., 2017. Performance measurement for world-class manufacturing: a model for the Italian automotive industry. Total Quality Management and Business Excellence pp. 1-28.
  15. Prado, D., 2006. Project Management Maturity Model (Prado-PMMM): INDG-Tecs.
  16. PricewaterhouseCoopers, 2016. The Industry 4.0 / Digital Operations Self Assessment.
  17. Rusch, M., Treusch, O., David, U., Seiter, M., 2016, Industrie 4.0 – Controllers Aufgaben. In: Controller Magazin, 3, pp. 70-79.
  18. Schaltegger, S., Wagner, M, 2011. Sustainable entrepreneurship and sustainability innovation: categories and interactions. Business Strategy and the Environment, 20(4), 222-237.
  19. Vignali G., Bertolini M., Bottani E., Di Donato L., Ferraro A., Longo F., 2018. Design and testing of an augmented reality solution to enhance operator safety in the food industry. International Journal of Food Engineering, vol. 14, no. 2.
  20. Wee, D., Kelly, R., Cattel, J., Breunig, M., 2015. Industry 4.—How to Navigate Digitization of the Manufacturing Sector; McKinsey & Company: Dusseldorf, Germany; Berlin, Germany; Munich, Germany.
  21. Zhou, J., 2013. Digitalization and intelligentization of manufacturing industry,” Adv. Manuf., vol. 1, no. 1, pp. 1–7, Mar. 2013.