1. Proceedings
  2. I3M
  3. 2021
  4. MAS
  5. 10.46354/i3m.2021.mas.013

Maven: A first step towards a digital twin for synchronous logistics in the automotive industry

  • a Diego Crespo-Pereira , 
  • b Alexandre Pérez-Rodríguez,
  • c Adrián Carballo-Alonso,
  • d Diego Costas-Freire,
  • e  Alejandro Rodal-Salgueiro,
  • f  Sonia Iglesias-Fernández,
  • g  David del-Río-Vilas,
  • h  Andrés Carrillo-Lasheras 
  • a University of A Coruna, Campus Industrial, Rua Mendizabal s/n, Ferrol, 15403, Spain
  • b,c,d,e,f Maviva S.A., Avda. Citroën s/n. Recinto Zona Franca, Vigo, 36210, Spain (g)(h)Ferrovial Servicios S.A., Quintanavides 21 – Edificio 5, Madrid, 28050, Spain
  • g.h Ferrovial Servicios S.A., Quintanavides 21 – Edificio 5, Madrid, 28050, Spain
Cite as
Crespo-Pereira D., Pérez-Rodríguez A., Carballo-Alonso A., Costas-Freire D., Rodal-Salgueiro A., Iglesias-Fernández S., del-Río-Vilas D., Carrillo-Lasheras A. (2021). Maven: A first step towards a digital twin for synchronous logistics in the automotive industry. Proceedings of the 20th International Conference on Modeling & Applied Simulation (MAS 2021), pp. 104-110. DOI: https://doi.org/10.46354/i3m.2021.mas.013

Abstract

This paper is concerned with the development of a simulation model designed as the basis for an operations-focused Digital Twin of a synchronous supply process in an automotive assembly line. The simulation model has been co-designed and developed by both simulation experts from the University of A Coruna and industrial engineering experts from the Maviva logistics company. The model has been developed in Flexsim, and it contains the entire set of assets, resources, and operations involved in the synchronized delivery of components to the assembly lines of the Stellantis Group Plant in Vigo (Spain). Since it is aimed at providing an actual and updated digital operational asset for the Maviva logistics firm, a significant effort has been put in the model’s parameterization so that enabling its adaption to new production circumstances and its interoperability and integration with current data systems in real time. The first application cases and results are presented in this paper.

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