Practical Application of a Multimodal Approach in Simulation Modeling of Production and Assembly Systems

  • Pawel PawlewskiEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 801)


This paper presents the results of research carried out in recent years in the area of modeling and simulation of production and assembly systems. The main goal of the article is to show the practical application of the multimodal approach in the simulation modeling of production and assembly systems and the benefits resulting from it. The article describes the issues of simulation modeling and presents a multi-level model of behaviors of the cyclic processes system, which is the backbone of the multimodal approach. The main part of the article is the concept of using a multimodal approach in simulation modeling and an example of its application. The main contribution of the paper is to define the methodology of simulation modeling based on cyclical processes - a multimodal approach and an approach to modeling from a high level where the basic object is a workstation.


Multimodal approach Cyclic processes Simulation modeling 



The work was carried out as part of the POIR.01.01.01-00-0485/17 project, “Development of a new type of logistic trolley and methods of collision-free and deadlock-free implementation of intralogistics processes”, financed by NCBiR.


  1. 1.
    Pawlewski, P.: Multimodal approach to modeling of manufacturing processes. Procedia CIRP 17, 716–720 (2014). Variety Management in Manufacturing — Proceedings of the 47th CIRP Conference on Manufacturing Systems (2014)Google Scholar
  2. 2.
    Beaverstock, M., Greenwood, A., Nordgren, W.: Applied Simulation. Modeling and Analysis using Flexsim, Flexsim Software Products, Inc., Canyon Park Technology Center, Orem, USA (2017)Google Scholar
  3. 3.
    Borshchev, A.: The Big Book of Simulation Modeling. Anylogic North America, Lisle (2013)Google Scholar
  4. 4.
    Forrester, J.W.: Industrial Dynamics. Pegasus Communications, Waltham (1961)Google Scholar
  5. 5.
    Siebers, P.O., Macal C.M., Garnett, J., Buxton, D., Pidd, M.: Discrete-event simulation is dead, long live agent-based simulation! J. Simul. 4(3), 204–210 (2010)CrossRefGoogle Scholar
  6. 6.
    Weimer, Ch.W., Miller, J.O., Hill, R.R.: Introduction to agent based modeling. In: Roeder, T.M.K., Frazier, P.I., Szechtman, R., Zhou, E., Huschka, T., Chick, S.E. (eds.) Proceedings of the 2016 Winter Simulation Conference (2016)Google Scholar
  7. 7.
    United Nations Convention on International Multimodal Transport of Goods (Genewa, 24 mai 1980 r.) (1980)Google Scholar
  8. 8.
    Hoel, E.G., Heng, W.L., Honeycutt, D.: High performance multimodal networks. In: Bauzer, M.C., et al. (eds.) SSTD 2005. LNCS, vol. 3633, pp. 308–327. Springer, Heidelberg (2005)Google Scholar
  9. 9.
    Bocewicz, G., Nielsen, P., Banaszak, Z., Quang, V.Q.: Cyclic steady state refinement: multimodal processes perspective. In: Bjørge, J.F., et al. (eds.) Advances in Production Management Systems, series: IFIP Advances in Information and Communication Technology, vol. 384, pp. 18–27. Springer, Heidelberg (2012)Google Scholar
  10. 10.
    Pawlewski, P.: Multimodal approach to model and design supply chain. In: Proceedings of IFAC MIM Conference, St. Petersburg (2013)CrossRefGoogle Scholar
  11. 11.
    Nyemba, W.R., Mbohwa, C.: Modelling, simulation and optimization of the materials flow of a multi-product assembling plant. Procedia Manuf. 8, 59–66 (2017)CrossRefGoogle Scholar
  12. 12.
    Hall, A.D.: A Methodology for Systems Engineering. Princeton University Press, Princeton (1962)Google Scholar
  13. 13.
    Rother, M., Shook, J.: Learning to see. Value-Stream Mapping to Create Value and Eliminate Muda, The lean Enterprise Institute, Inc. (2003)Google Scholar
  14. 14.
    Santarek, K.: Organisational problems and issues of CIM systems design. J. Mater. Process. Technol. 76, 219–226 (1998)CrossRefGoogle Scholar
  15. 15.
    Greenwood, A., Pawlewski, P., Bocewicz, G.: A conceptual design tool to facilitate simulation model development: object flow diagram. In: Pasupathy, R., Kim, S.-H., Tolk, A., Hill, R., Kuhl, M.E. (eds.) Proceedings of the 2013 Winter Simulation Conference (2013)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Poznan University of TechnologyPoznańPoland

Personalised recommendations