Using DES/ABS Approach to Model and Simulate Bus Assembling Process

  • Pawel PawlewskiEmail author
  • Kamila Kluska
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 616)


This paper presents the results of the project, which goal is to analyze the production process capability after reengineering the assembly process due to expansion of a bus production plant. The verification of the designed work organization for the new configuration of workstations on new production hall is necessary. The simulation model is the best tool for visualization and verification of the work organization based on individual workteams which are supporting particular workstations. Owing to the simulation it is possible to define the imperfections of this conception and elaborate improvements which will minimize the idleness of workers and downtime occurring in the assembly process. The objective of performed activities is to provide assurance that the new organization of assembly process will lead to maximum utilization of production capacity in the company. To solve described problems authors propose a method based on mixing DES (Discrete Event Simulation) and ABS (Agent Based Simulation) approach. DES was used to model the main process – material flow (buses), ABS was used to model assembling operations of teams of workers.


Agent based modeling Simulation Assembling Production plant 



Presented research works are carried out under the project – status activities of Faculty o Engineering Management DS 2016 Poznan University of Technology.


  1. 1.
    Allan, R.: Survey of agent based modeling and simulation tools. In: STFC 2008–2009, pp. 1–28 (2009)Google Scholar
  2. 2.
    Bartkowiak, T., Gessner, A.: Modeling performance of a production line and optimizing its efficiency by means of genetic algorithm. In: ASME 2014 12th Biennial Conference on Engineering Systems Design and Analysis - Volume 3: Engineering Systems; Heat Transfer and Thermal Engineering; Materials and Tribology; Mechatronics; Robotics Copenhagen, Denmark (2014)Google Scholar
  3. 3.
    Beaverstock, M., Greenwood, A., Lavery, E., Nordgren, W.: Applied Simulation: Modeling and Analysis Using Flexsim. Flexsim Software Products, Inc., Canyon Park Technology Center, Orem, USA (2011)Google Scholar
  4. 4.
    Bozarth, C., Handfield, R.B.: Introduction to Operations and Supply Chain Management, 3rd edn. Prentice Hall, Upper Saddle River (2012)Google Scholar
  5. 5.
    Cox, J.F., Blackstone, J.H.: APICS Dictionary, Alexandria, VA, APICS (2002)Google Scholar
  6. 6.
    Hammer, M., Champy, J.: Reengineering the Corporation: A Manifesto for Business Revolution. HarperBusiness (1993)Google Scholar
  7. 7.
    Jasiulewicz-Kaczmarek, M., Drożyner, P.: Maintenance management initiatives towards achieving sustainable development. In: Golinska, P., et al. (eds.) Information Technologies in Environmental Engineering Environmental Science and Engineering, pp. 707–721. Springer, Berlin (2011)CrossRefGoogle Scholar
  8. 8.
    Korytkowski, P., Karkoszka, R.: Simulation based efficiency analysis of an in-plant milk-run operator under disturbances. Int. J. Adv. Manuf. Technol. 82(5), 827–837 (2016)CrossRefGoogle Scholar
  9. 9.
    Macal, Ch.M., North, M.J.: Agent-based modeling and simulation: desktop ABMS. In: Henderson, S.G., Biller, B., Hsieh, M.H., Shortle, J., Tew, D.J., Barton, R.R. (eds) Proceedings of the 2007 Winter Simulation ConferenceGoogle Scholar
  10. 10.
    Pawlewski, P.: DES/ABS approach to simulate warehouse operations. In: Bajo, J., Hallenborg, K., Pawlewski, P., Botti, V., Sánchez-Pi, N., Duque Méndez, N.D., Lopes, F., Vicente, J. (eds.) PAAMS 2015 Workshops. CCIS, vol. 524, pp. 115–125. Springer, Heidelberg (2015)CrossRefGoogle Scholar
  11. 11.
    Scholl, A., Becker, C.: A survey on problems and methods in generalized assembly line balancing. Eur. J. Oper. Res. 168(3), 694–715 (2003)MathSciNetzbMATHGoogle Scholar
  12. 12.
    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
  13. 13.
    Zemczak, M.: Zagadnienie balansowania linii montażowej i szeregowania zadań w systemach produkcji mixed-model. Informatyczne systemy zarządzania: tom 4: (Wybrane zastosowania)/red. nauk. Marcin Relich., Wydawnictwo Uczelniane Politechniki Koszalińskiej (2013)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Poznan University of TechnologyPoznańPoland

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