DES as Tool for the Decision-Making in an Offshore Manufacturing Foundation Process

  • Jose Antonio Muiña Dono
  • Adolfo Lamas RodríguezEmail author
  • David Chas Álvarez
Part of the EcoProduction book series (ECOPROD)


The potential of offshore wind energy is linked to a reduction of costs per KWh. Several studies have pointed out the potential reduction of manufacturing process and its impact on the final results, especially in substructures cost. This chapter presents an implementation of 3D Discrete Event Simulation (DES) in an offshore manufacturing foundation process to increase the efficiency of the process by reducing costs and delivery times. The simulation is used as an integrating tool that supports the management team in the decision-making process, since the commercial phase to the project completion.


Discrete event simulation Decision-making Manufacturing FlexSim 



The authors are thankful to Unidad Mixta de Investigación (UMI) Navantia-UDC for its valuable support.


  1. 1.
    Akpan, I.J., Brooks, R.J.: Practitioners’ perception of the impacts of virtual reality on discrete-event simulation. Environment 202–208 (2005)Google Scholar
  2. 2.
    Akpan, I.J., Shanker, M.: The confirmed realities and myths about the benefits and costs of 3D visualization and virtual reality in discrete event modeling and simulation: a descriptive meta-analysis of evidence from research and practice. Comput. Ind. Eng. 112, 197–211 (2017)CrossRefGoogle Scholar
  3. 3.
    Anglani, A., Grieco, A., Pacella, M., Tolio, T.: Object-oriented modeling and simulation of flexible manufacturing systems: a rule-based procedure. Simul. Model. Pract. Theory 10, 209–234 (2002)CrossRefGoogle Scholar
  4. 4.
    Caprace, J.D., Moreira, R., Assiss, L.F., Pires, C.M., Rigo, P.: Discrete event production simulation in Shipyard workshops. In: 21th COPINAVAL, p. 20 (2011)Google Scholar
  5. 5.
    EWEA: Reviving wind markets and delivering on our 2030 objetives. Wind Europe (2017)Google Scholar
  6. 6.
    Kaadár, B., Pfeiffer, A., Monostori, L.: Discrete event simulation for supporting production planning and scheduling decisions in digital factories. In: CIRP International Seminar on Manufacturing Systems, pp. 44–448 (2004)Google Scholar
  7. 7.
    Krenczyk, D., Kempa, W.M., Kalinowski, K., Grabowik, C., Paprocka, I.: Production planning and scheduling with material handling using modelling and simulation. In: MATEC Web of Conferences, pp. 1–6 (2017)CrossRefGoogle Scholar
  8. 8.
    Kumar, U., Narayan, Y.: Productivity improvement in a windows manufacturing layout using Flexsim simulation software. Int. J. Res. Advent Technol. 86–90 (2015)Google Scholar
  9. 9.
    Monetevechi, J.A., Thomassie, R., Banerjee, A.: Analysis of communication management in a discrete event simulation project in a high tech manufacturing company. In: Winter Simulation Conference, pp. 400–4111 (2017)Google Scholar
  10. 10.
    Rüßmann, M., Lorenz, M., Gerbert, P., Waldner, M., Justus, J., Engel, P., Harnisch, M.: Industry 4.0: The Future of Productivity and Growth in Manufacturing Industries. The Boston Consulting Group (2015)Google Scholar
  11. 11.
    Sachidananda, M., Erkoyuncu, J., Steenstra, D., Michalska, S.: Discrete event simulation modelling for dynamic decision making in biopharmaceutical manufacturing. In: CIRP Conference on Biomanufacturing, pp. 39–44 (2016)CrossRefGoogle Scholar
  12. 12.
    Semini, M., Fauske, H., Strandhagen, J.: Applications of discrete-event simulation to support manufacturing logistics decision-making: a survey. In: Winter Simulation Conference, pp. 1946–1953 (2006)Google Scholar
  13. 13.
    Sun, X., Huang, D., Wu, G.: The current state of offshore wind energy technology development. Energy 41, 298–312, Elsevier Ltd. (2012)Google Scholar
  14. 14.
    Varela, P., Sánchez, M.C.: Estimation of the potential effects of offshore wind on the Spanish economy, Renew. Energy 111, 815–824, Elsevier Ltd. (2017)Google Scholar
  15. 15.
    WindEurope: Offshore wind in Europe: key trends and statistics 2017. WindEurope, p. 91 (2018)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Jose Antonio Muiña Dono
    • 1
  • Adolfo Lamas Rodríguez
    • 1
    • 2
    Email author
  • David Chas Álvarez
    • 1
  1. 1.UMI Navantia-University of a CoruñaFerrolSpain
  2. 2.University of a CoruñaFerrolSpain

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