A cyber-physical system for production monitoring of manual manufacturing processes

  • Andrea TaralloEmail author
  • R. Mozzillo
  • G. Di Gironimo
  • R. De Amicis
Original Paper


The computerization of manufacturing is one of the major challenges of the so-called fourth industrial revolution or Industry 4.0. Virtualization of the smart factory should provide real-time vision, control and monitoring of production through interactive dashboards and synchronization of data coming from different factory functions. The latter characteristics are particularly difficult to implement when the manufacturing core relies on traditional manual labour rather than on automation, as in the case of manual assembly. Monitoring or even controlling the manual work in real-time is extremely difficult to put into practice. Therefore, realizing the principles of Industry 4.0 in manual or semi-automatic labour contexts means developing new production control systems that involve the worker in the monitoring process without negatively affecting the production times or the psychological status of the workers. In particular, the authors propose a computer-aided production control framework based upon multimedia manuals and smart completeness control systems that can be used to implement the principles of Industry 4.0 in manual or semi-automatic work environments. This technology has been successfully tested in laboratory on the basis of a real industrial case study. The response of the testers has been positive and the outcomes in terms of increased product quality are promising.


Industry 4.0 Cyber-physical systems Interactive electronic technical manuals Smart manufacturing Production monitoring 



The authors deeply thank the company Sannio Plastic srl for its support in the research activity, having provided the sample products for the case study.


  1. 1.
    Stojmenovic, I.: Machine-to-machine communications with in-network data aggregation, processing, and actuation for large-scale cyber-physical systems. IEEE Internet Things J. 1(2), 122–128 (2014)CrossRefGoogle Scholar
  2. 2.
    Penas, O., Plateaux, R., Patalano, S., Hammadi, M.: Multi-scale approach from mechatronic to Cyber-Physical Systems for the design of manufacturing systems. Comput. Ind. 86, 52–69 (2017). CrossRefGoogle Scholar
  3. 3.
    Yerby, J.: Legal and ethical issues of employee monitoring. Online J. Appl. Knowl. Manag. 1(2), 44 (2013)Google Scholar
  4. 4.
    Tarallo, A., Mozzillo, R., Di Gironimo, G., Aiello, A., Utili, M., Ricapito, I.: Preliminary piping layout and integration of European test blanket modules subsystems in ITER CVCS area. Fus. Eng. Des. 93, 24–29 (2015)CrossRefGoogle Scholar
  5. 5.
    Labate, C., Di Gironimo, G., Renno, F.: Plasma facing components: a conceptual design strategy for the first wall in FAST tokamak. Nucl. Fus. 55, 113013 (2015). CrossRefGoogle Scholar
  6. 6.
    Lucca, F., Bertolini, C., Crescenzi, F., Crisanti, F., Di Gironimo, G., Labate, C., Manzoni, M., Marconi, M., Pagani, I., Ramogida, G., Renno, F., Roccella, M., Roccella, S., Viganò, F.: Preliminary electromagnetic, thermal and mechanical design for first wall and vacuum vessel of FAST. Fus. Eng. Des. 98–99, 1538–1542 (2015)CrossRefGoogle Scholar
  7. 7.
    Di Gironimo, G., Marzullo, D., Mozzillo, R., Tarallo, A., Villone, F.: The DTT device: first wall, vessel and cryostat structures. Fus. Eng. Des. 122, 333–340 (2017). CrossRefGoogle Scholar
  8. 8.
    Ralyté, J., Rolland, C.: An assembly process model for method engineering. In CAiSE 2068, 267–283 (2001)zbMATHGoogle Scholar
  9. 9.
    Bargelis, A., Čikotienė, D., Ramonas, Z.: Impact of human factors and errors for product quality and reliability in the integrated approach of product and process design, maintenance and production. Mechanics 20(1), 92–98 (2014)CrossRefGoogle Scholar
  10. 10.
    Suárez-Barraza, M.F., Ramis-Pujol, J., Kerbache, L.: Thoughts on kaizen and its evolution: three different perspectives and guiding principles. Int. J. Lean Six Sigma 2(4), 288–308 (2011)CrossRefGoogle Scholar
  11. 11.
    Fisher, M.: Process improvement by poka-yoke. Work Study 48(7), 264–266 (1999)CrossRefGoogle Scholar
  12. 12.
    Di Gironimo, G., Mozzillo, R., Tarallo, A.: From virtual reality to web-based multimedia maintenance manuals. Int. J. Interact. Des. Manuf. (IJIDeM) 7(3), 183–190 (2013)CrossRefGoogle Scholar
  13. 13.
  14. 14.
  15. 15.
    Dale, B.: Total Quality Management. Wiley, New York (2015)CrossRefGoogle Scholar
  16. 16.
    So, E.W.Y., Michieletto, S., Menegatti, E.: Calibration of a dual-laser triangulation system for assembly line completeness inspection. In 2012 IEEE International Symposium on Robotic and Sensors Environments (ROSE), pp. 138–143. IEEE (2012)Google Scholar
  17. 17.
    Wolf, W., Ozer, B., Lv, T.: Smart cameras as embedded systems. Computer 35(9), 48–53 (2002)CrossRefGoogle Scholar
  18. 18.
    Gerbino, S., Del Giudice, D.M., Staiano, G., Lanzotti, A., Martorelli, M.: On the influence of scanning factors on the laser scanner-based 3D inspection process. Int. J. Adv. Manuf. Technol. 84(9–12), 1787–1799 (2016)CrossRefGoogle Scholar
  19. 19.
    Website: Retrieved 9 May 2018

Copyright information

© Springer-Verlag France SAS, part of Springer Nature 2018

Authors and Affiliations

  • Andrea Tarallo
    • 1
    Email author
  • R. Mozzillo
    • 1
  • G. Di Gironimo
    • 1
  • R. De Amicis
    • 2
  1. 1.DII - Dipartimento di Ingegneria IndustrialeUniversity of Naples Federico IINaplesItaly
  2. 2.School of Electrical Engineering and Computer Science 3105, Kelley Engineering CenterOregon State UniversityCorvallisUSA

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