Integration Between PLM and MES for One-of-a-Kind Production

  • Emiliano Traini
  • Giulia BrunoEmail author
  • Ahmed Awouda
  • Paolo Chiabert
  • Franco Lombardi
Conference paper
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 565)


Despite the amount of research addressing the formalization of product-related knowledge, the practical use of tools for knowledge management is still very low at the corporate level. Several commercial software applications are already available for product lifecycle management (PLM) and manufacturing execution system (MES). Unfortunately, these two applications are scarcely integrated thus preventing an efficient and pervasive collection of data and the consequent creation of useful information. This is more critical in One-of-a-kind Production (OKP), where each product is unique, the process is not completely defined at the design stage, but it is continuously improved at the shop floor level by skilled operator. In such situations, most of the company’s knowledge relies on the lessons learnt by operators in years of work experience, and their ability to reuse this knowledge in order to face new problems. Because OKP must develop unique product and complex processes in a short time, it is mandatory to reuse the acquired information in the most efficient way. It is therefore necessary to collect all the data from the shop floor and transform them in information that will be used in the development of the next product and process. The aim of this paper is to design a framework able to integrate data, from both design and manufacturing phases. To this aim, a framework has been designed to structure and relate information from the PLM and the MES systems. A case study has been developed for a car prototyping company to prove the efficiency of the proposed solution.


Industry 4.0 PLM Knowledge management OKP 


  1. 1.
    Wortmann, J.C., Muntslag, D.R., Timmermans, P.J.M.: Customer-Driven Manufacturing. Chapman & Hall, London (1997)Google Scholar
  2. 2.
    Tu, Y.: Production planning and control in a virtual one-of-a-kind production company. Comput. Ind. 34(3), 271–283 (1997)CrossRefGoogle Scholar
  3. 3.
    Dean, P.R., Tu, Y.L., Xue, D.: An information system for one-of-a-kind production. Int. J. Prod. Res. 47(4), 1071–1087 (2009)CrossRefGoogle Scholar
  4. 4.
    Bruno, G., Antonelli, D., Korf, R., Lentes, J., Zimmermann, N.: Exploitation of a semantic platform to store and reuse PLM knowledge. In: Grabot, B., Vallespir, B., Gomes, S., Bouras, A., Kiritsis, D. (eds.) APMS 2014. IAICT, vol. 438, pp. 59–66. Springer, Heidelberg (2014). Scholar
  5. 5.
    Bruno, G., Taurino, T., Villa, A.: An approach to support SMEs in manufacturing knowledge organization. J. Intell. Manuf. 29(6), 1379–1392 (2018)CrossRefGoogle Scholar
  6. 6.
    Chungoora, N., et al.: A model-driven ontology approach for manufacturing interoperability and knowledge sharing. Comput. Ind. 64(4), 392–401 (2013)CrossRefGoogle Scholar
  7. 7.
    David, M., Rowe, F.: What does PLMS (product lifecycle management systems) manage: data or documents? Complementarity and contingency for SMEs. Comput. Ind. 75, 140–150 (2015)CrossRefGoogle Scholar
  8. 8.
    Efthymiou, K., Sipsas, K., Mourtzis, D., Chryssolouris, G.: On knowledge reuse for manufacturing systems design and planning: a semantic technology approach. CIRP J. Manufact. Sci. Technol. 8, 1–11 (2015)CrossRefGoogle Scholar
  9. 9.
    Igba, J., Alemzadeh, K., Gibbons, P.M., Henningsen, K.: A framework for optimizing product performance through feedback and reuse of in-service experience. Robot. Comput.-Integr. Manuf. 36, 2–12 (2015)CrossRefGoogle Scholar
  10. 10.
    Bruno, G., Korf, R., Lentes, J., Zimmermann, N.: Efficient management of product lifecycle information through a semantic platform. Int. J. Prod. Lifecycle Manag. 9(1), 45–64 (2016)CrossRefGoogle Scholar
  11. 11.
    Elgamma, A., Papazoglou, M., Krämer, B., Constantinescu, C.: Design for customization: a new paradigm for product-service system development. Procedia CIRP 64, 345–350 (2017)CrossRefGoogle Scholar
  12. 12.
    Ebrahimi, A.H., Johansson, P.E.C., Bengtsson, K., Åkesson, K.: Managing product and production variety – a language workbench approach. Procedia CIRP 17, 338–344 (2014)CrossRefGoogle Scholar
  13. 13.
    Petrucciani, M., Marangi, L., Agosta, M., Stevanella, M.: A platform for product-service design and manufacturing intelligence. In: Cattaneo, L., Terzi, S. (eds.) Models, Methods and Tools for Product Service Design. SAST, pp. 45–61. Springer, Cham (2019). Scholar
  14. 14.

Copyright information

© IFIP International Federation for Information Processing 2019

Authors and Affiliations

  • Emiliano Traini
    • 1
  • Giulia Bruno
    • 1
    Email author
  • Ahmed Awouda
    • 1
  • Paolo Chiabert
    • 1
  • Franco Lombardi
    • 1
  1. 1.Politecnico di TorinoTorinoItaly

Personalised recommendations