A Heuristic and Simulation Hybrid Approach for Mixed and Multi Model Assembly Line Balancing

  • Damian KrenczykEmail author
  • Bozena Skolud
  • Anna Herok
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 637)


Industry 4.0 is focused on creating smart products, procedures and processes and calls for the need to create fully dynamic reconfiguration production lines in which products move autonomously through the system from one available resource to another. Planers should be equipped with the methods and IT tools required to develop a complex planning and explanatory models to control and re-configure manufacturing resource networks and production flow based on situation. In this paper a heuristics and simulation based approach for balancing of mixed and multi model assembly line is presented. The proposed IT solution is a computer hybrid implementation of combined data-driven automatic simulation models generation and heuristic for line balancing methods. A computer implementation of the proposed solution using the FlexSim simulation software with a practical example of its application are presented as well.


Factory 4.0 Mixed-model Assembly line balancing Data-driven Simulation Data mapping Data transformation Automatic model generation 


  1. 1.
    Zuehlke, D.: SmartFactory—towards a factory-of–things. Ann. Rev. Control 34, 129–138 (2010)CrossRefGoogle Scholar
  2. 2.
    Madsen, E.S., Bilberg, A., Hansen, D.G.: Industry 4.0 and digitalization call for vocational skills, applied industrial engineering, and less for pure academics. In: Proceedings of the 5th P&OM World Conference, Production and Operations Management, P&OM (2016)Google Scholar
  3. 3.
    Kagermann, H., Wahlster, W., Helbig, J.: Recommendations for implementing the strategic initiative industrie 4.0: final report of the industrie 4.0 working group (2013)Google Scholar
  4. 4.
    Hermann, M., Pentek, T., Otto, B.: Design principles for industrie 4.0 scenarios. In: 49th Hawaii International Conference on System Sciences (HICSS), Koloa, HI, pp. 3928–3937 (2016)Google Scholar
  5. 5.
    Skolud, B., Krenczyk, D.: Rhythmic production planning in the context of flow logic. In: Manufacturing 2014: Contemporary Problems of Manufacturing and Production Management, pp. 35–43 (2016)Google Scholar
  6. 6.
    Krenczyk, D., Skolud, B.: Transient states of cyclic production planning and control. Appl. Mech. Mater. 657, 961–965 (2014)CrossRefGoogle Scholar
  7. 7.
    Grzechca, W. (ed.): Assembly Line—Theory and Practice. InTech (2011).
  8. 8.
    Zemczak, M., Skolud, B., Krenczyk, D: Two-Stage orders sequencing system for mixed-model assembly. In: IOP Conference Series: Materials Science and Engineering, 95, 012130 (2015)Google Scholar
  9. 9.
    Ponnambalam, S.G., Aravindan, P., Naidu, G.M.: A comparative evaluation of assembly line balancing heuristics. Int. J. Adv. Manuf. Technol. 15, 577–586 (1999)CrossRefGoogle Scholar
  10. 10.
    Grzechca, W.: Assembly line balancing problem with reduced number of workstations. IFAC Proc. Vol. 47(3), 6180–6185 (2014)CrossRefGoogle Scholar
  11. 11.
    Pidd, M.: Guidelines for the design of data driven generic simulators for specific domains. Simulation 59(4), 237–243 (1992)CrossRefGoogle Scholar
  12. 12.
    Wang, J., et al.: Data driven production modeling and simulation of complex automobile general assembly plant. Comput. Ind. 62(7), 765–775 (2011)CrossRefGoogle Scholar
  13. 13.
    Bergmann, S., Strassburger, S.: Challenges for the automatic generation of simulation models for production systems. In: SCSC 2010 Proceedings of the 2010 Summer Computer Simulation Conference, Ottawa, Canada, pp. 545–549 (2010)Google Scholar
  14. 14.
    Krenczyk, D., Jagodzinski, M.: ERP, APS and simulation systems integration to support production planning and scheduling. Adv. Intell. Syst. Comput. 368, 451–461 (2015)Google Scholar
  15. 15.
    Beaverstock, M., Greenwood, A.G., Lavery, E., Nordgren, B.: Applied Simulation: Modeling and Analysis Using FlexSim. FlexSim Software Products Inc, Orem (2012)Google Scholar

Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  1. 1.Faculty of Mechanical EngineeringSilesian University of TechnologyGliwicePoland

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