Industry 4.0 as Enabler for Effective Manufacturing Virtual Enterprises

  • Filipe FerreiraEmail author
  • José Faria
  • Américo Azevedo
  • Ana Luísa Marques
Conference paper
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 480)


Today, the variety of complex products, low volume and decreasing life cycles require a combination of multiple skills that, often, do not exist in a single organization. This raises the need to extend the traditional organization towards the extended virtual enterprise. During the last decade several research projects developed concepts, methods and tools to support the design and operation of the virtual enterprises. However, the impact in industry remains low mainly due to the lack of vertical and horizontal integration, both at business and technical level. Industry 4.0 may be the missing enabler for effective virtual enterprises, once it integrates both business entities and technical entities into a single concept - the Industry 4.0 component – thus enabling enhanced interoperability. This paper presents innovative Industry 4.0 approaches, concepts, methods and tools applied to real manufacturing environments, showing how they enable the creation of cyber-physical production systems leading to a flexible, efficient and seamlessly virtual enterprise.


Virtual enterprise Industry 4.0 Internet of things Cyber-physical systems Intelligent product ecosystems 



This work is co-financed by the North Portugal Regional Operational Programme (NORTE 2020), under the PORTUGAL 2020 Partnership Agreement, and through the European Regional Development Fund (ERDF).


  1. 1.
    Fixson, S.K.: Product architecture assessment: a tool to link product, process, and supply chain design decisions. J. Oper. Manag. 23(3–4), 345–369 (2005)CrossRefGoogle Scholar
  2. 2.
    Azevedo, A., Almeida, A.: Factory templates for digital factories framework. Robot. Comput.-Integr. Manuf. 27, 755–771 (2011)CrossRefGoogle Scholar
  3. 3.
    Jovane, F., Westkamper, E., Williams, D.: The Manufuture Road: Towards Competitive and Sustainable High-Adding-Value Manufacturing. Springer, Heidelberg (2009)Google Scholar
  4. 4.
    Rojas, E.P.S., Barros, A.C., de Azevedo, A.L., Batocchio, A.: Business model development for virtual enterprises. In: Camarinha-Matos, L.M., Xu, L., Afsarmanesh, H. (eds.) Collaborative Networks in the Internet of Services. IFIP AICT, vol. 380, pp. 624–634. Springer, Heidelberg (2012)CrossRefGoogle Scholar
  5. 5.
    Rojas, E., Azevedo, A.: Pillars and elements to develop an open business model for innovation networks. In: Camarinha-Matos, L.M., Afsarmanesh, H. (eds.) Collaborative Systems for Smart Networked Environments. IFIP AICT, vol. 434, pp. 317–326. Springer, Heidelberg (2014)Google Scholar
  6. 6.
    Camarinha-Matos, L.M., Afsarmanesh, H., Galeano, N., Molina, A.: Collaborative networked organizations – Concepts and practice in manufacturing enterprises. J. Comput. Ind. Eng. 57, 46–60 (2009)CrossRefGoogle Scholar
  7. 7.
    Cheng, Y., Farooq, S., Johansen, J.: Manufacturing network evolution: a manufacturing plant perspective. Int. J. Oper. Prod. Manag. 31(12), 1311–1331 (2011)CrossRefGoogle Scholar
  8. 8.
    Martinez, M.T., Fouletier, P., Park, K.H., Favrel, J.: Virtual enterprise – organisation, evolution and control. Int. J. Prod. Econ. 74(1–3), 225–238 (2001)CrossRefGoogle Scholar
  9. 9.
    Camarinha-Matos, L.M., Afsarmanesh, H.: Collaborative Networks –Reference Modeling. Springer, New York (2008)CrossRefzbMATHGoogle Scholar
  10. 10.
    Ferreira, F., Azevedo, A., Faria, J., Rojas, E.: Virtual enterprise process management: an application to industrial maintenance. In: Camarinha-Matos, L.M., Afsarmanesh, H. (eds.) Collaborative Systems for Smart Networked Environments. IFIP AICT, vol. 434, pp. 71–79. Springer, Heidelberg (2014)Google Scholar
  11. 11.
    Almeida, A., et al.: Process performance assessment in collaborative manufacturing environments: a role oriented approach. In: Advances in Sustainable and Competitive Manufacturing Systems, pp. 911–924. Springer International Publishing, Heidelberg (2013)Google Scholar
  12. 12.
    Barba-Sánchez, V., Martínez-Ruiz, M.P., Jimenez-Zarco, A.I.: Drivers, benefits and challenges of ICT adoption by small and medium sized enterprises (SMEs): a literature review. Prob. Perspect. Manag. 5(1), 104–115 (2007)Google Scholar
  13. 13.
    Chandrashekar, A., Schary, P.B.: Toward the virtual supply chain: the convergence of IT and organization. Int. J. Logistics Manag. 10(2), 27–40 (1999). RAMI 4.0. An Architectural Model for Industry 4.0, Dr.-Ing. Peter Adolphs - Berlin, 18 June 2015CrossRefGoogle Scholar
  14. 14.
    Wang, L., et al.: Current status and advancement of cyber-physical systems in manufacturing. J. Manuf. Syst. (2015). doi: 10.1016/j.jmsy.2015.04.008 Google Scholar
  15. 15.
    Status Report Reference Architecture Model Industry 4.0 (RAMI 4.0), July 2015Google Scholar
  16. 16.
    D3.4 Conceptual Manufacturing Reference of Adventure Project - ADaptive Virtual ENterprise ManufacTURing Environment FoF-ICT-2011.7.3 – 285220 (2011)Google Scholar
  17. 17.
    Ferreira, F., Marques, A.L., Faria, J., Azevedo, A.: Large project management in the automotive industry: a flexible and knowledge based approach. In: Rocha, A., Correia, A.M., Adeli, H., Reis, L.P., Teixeira, M.M. (eds.) New Advances in Information Systems and Technologies. Advances in Intelligent Systems and Computing, vol. 444, pp. 455–464. Springer International Publishing, Heidelberg (2016)CrossRefGoogle Scholar
  18. 18.
    Azevedo, A., et al.: A framework to support the lifecycle of virtual manufacturing enterprises. In: Proceedings of the 24th International Conference on Flexible Automation and Intelligent Manufacturing FAIM, DEStech Publications, Inc. (2014)Google Scholar
  19. 19.
    Faria, J., Silva, J., Marques, H.: Supporting the operation of semi-structured work systems. In: Quintela Varajão, J.E., Cruz-Cunha, M.M., Putnik, G.D., Trigo, A. (eds.) CENTERIS 2010. CCIS, vol. 110, pp. 416–425. Springer, Heidelberg (2010)CrossRefGoogle Scholar
  20. 20.
    Faria, J.A., Nóvoa, H.: An agile BPM system for knowledge-based service organizations. In: Nóvoa, H., Drăgoicea, M. (eds.) IESS 2015. LNBIP, vol. 201, pp. 65–79. Springer, Heidelberg (2015)Google Scholar
  21. 21.
    Adams, M., ter Hofstede, A.H., Edmond, D., van der Aalst, W.M.: Worklets: a service-oriented implementation of dynamic flexibility in workflows. In: Meersman, R., Tari, Z. (eds.) OTM 2006. LNCS, vol. 4275, pp. 291–308. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  22. 22.
    PLM as Enabler for Industry 4.0 A NTT DATA Whitepaper as of May 2015Google Scholar
  23. 23.
    Shamsuzzoha, A., et al.: Business process monitoring and management in virtual enterprise through interactive user interface layer. In: Advances in Sustainable and Competitive Manufacturing Systems, pp. 451–464. Springer International Publishing, Heidelberg (2013)Google Scholar
  24. 24.
    Ferreira, F., Shamsuzzoha, A., Azevedo, A., Helo, P.: Virtual enterprise process management: an application to industrial maintenance. In: Selvaraj, H., Zydek, D., Chmaj, G. (eds.) Proceedings of the Twenty-Third International Conference on Systems Engineering. AISC, vol. 366, pp. 285–291. Springer, Heidelberg (2014)CrossRefGoogle Scholar
  25. 25.
    Shamsuzzoha, A., et al.: Visualization functionality of virtual factories-an enhancement to collaborative business process management. In: 16th International Conference on Enterprise Information Systems (ICEIS) (2014)Google Scholar

Copyright information

© IFIP International Federation for Information Processing 2016

Authors and Affiliations

  • Filipe Ferreira
    • 1
    Email author
  • José Faria
    • 1
    • 2
  • Américo Azevedo
    • 1
    • 2
  • Ana Luísa Marques
    • 1
  1. 1.CESE - INESC TEC, Campus da FEUPPortoPortugal
  2. 2.Faculdade de Engenharia da Universidade do PortoPortoPortugal

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