Flexible Manufacturing System Simulation and Optimization | SpringerLink
Skip to main content

Flexible Manufacturing System Simulation and Optimization

  • Conference paper
  • First Online:
Experimental and Computational Investigations in Engineering (CNNTech 2020)

Abstract

The article deals with the simulation of real technological process using the computer technology to optimize the flexible manufacturing system (FMS). There was created a simulation model of the FMS for time-saving modelling of production aimed at the utilization of the system capacities for reaching the higher level of efficiency respecting delivery dates. The simulations provided a lot of other useful information describes the properties of the FMS in details. The most used information for the producer was time data (cycle, processing, waiting, lateness, etc.). A wide variation of clamping fixtures and missing buffers between CNC machines were the most problematic issues of the system, generally. Experimental verifications of the FMS confirmed the advantage of using an industrial simulation to verify different production strategies.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
¥17,985 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
JPY 3498
Price includes VAT (Japan)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
JPY 11439
Price includes VAT (Japan)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
JPY 14299
Price includes VAT (Japan)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Milošević, M., et al.: Design and manufacture of reformer in polymer electrolyte membrane fuel cell. Struct. Integr. Life 17(1), 21–24 (2017)

    Google Scholar 

  2. Mitrovic, N., et al.: Experimental and numerical study of globe valve housing. Chem. Ind. (2017). https://doi.org/10.2298/HEMIND160516035M(M23)

    Article  Google Scholar 

  3. Panda, A., et al.: Progressive technology – diagnostic and factors affecting to machinability. Appl. Mech. Mater. 616, 183–190 (2014)

    Article  Google Scholar 

  4. Stoicovici, D.I., et al.: An experimental approach to optimize the screening in the real operating conditions. Manuf. Eng. 2, 75–78 (2008)

    Google Scholar 

  5. Pantazopoulos, G.A.: Knowledge networks: a key driver for technological advancement and social progress. J. Fail. Anal. Prev. 17(5), 823–824 (2017). https://doi.org/10.1007/s11668-017-0342-z

    Article  Google Scholar 

  6. Monkova, K., et al.: Newly developed software application for multiple access process planning. Adv. Mech. Eng., 39071–39071 (2014)

    Google Scholar 

  7. Jerzy, J., Kuric, I., Grozav, S., Ceclan, V.: Diagnostics of CNC machine tool with R-test system. Acad. J. Manuf. Eng. 12, 56–60 (2014)

    Google Scholar 

  8. Ceclan, V.A., et al.: Quality of the hydroformed tubular parts. Adv. Eng. Forum, 8–9 (2013)

    Google Scholar 

  9. Tanasic, I., et al.: An attempt to create a standardized (reference) model for experimental investigations on implant’s sample. In: MEASUREMENT, 2015, vol. 72, pp. 37–42 (2015). ISSN 0263-2241

    Google Scholar 

  10. Zetek, M., Zetkova, I.: Increasing of the cutting tool efficiency from tool steel by using fluidization method. Procedia Eng. 100, 912–917 (2015)

    Article  Google Scholar 

  11. Kadnar, M., et al.: The design and verification of experimental machine for real journal bearing testing. Tech. Gaz. 18(1), 95–98 (2011). ISSN 1330-3651

    Google Scholar 

  12. Monka, P., Monkova, K.: Basic mathematical principles for internal structure of new CAPP software application. In: Annals of DAAAM for 2009 & Proceedings of the 20th International Symposium, vol. 20, pp. 1281–1282 (2009). ISSN 1726-9679

    Google Scholar 

  13. Monka, P., et al.: Design and experimental study of turning tools with linear cutting edges and comparison to commercial tools. Int. J. Adv. Manuf. Technol. 85, 2325–2343 (2016)

    Article  Google Scholar 

  14. Baron, P., et al.: Proposal of the knowledge application environment of calculating operational parameters for conventional machining technology. Key Eng. Mater. 669, 95–102 (2016)

    Article  Google Scholar 

  15. Stojadinovic, S.M., Majstorovic, V.D.: Developing engineering ontology for domain coordinate metrology. FME Trans. 42(3), 249–255 (2014)

    Article  Google Scholar 

  16. Vuković, A., Perinić, M., Ikonić, M.: Conceptual framework for creating customized modular CAPP system. Eng. Rev. 31(1), 35–43 (2011)

    Google Scholar 

  17. Markovic, J., Mihok, J.: Legal metrology and system for calibration and verification of the radar level sensors. Qual. Innov. Prosper. 20(1), 95–103 (2016)

    Article  Google Scholar 

  18. Turisova, R., et al.: Verification of the risk assessment model through an expert judgment. Qual. Innov. Prosper. 16(1), 37–48 (2012)

    Article  Google Scholar 

  19. Vychytil, J., Holecek, M.: The simple model of cell prestress maintained by cell incompressibility. Math. Comput. Simul. 80(6), 1337–1344 (2010)

    Article  MathSciNet  Google Scholar 

  20. Pantazopoulos, G.A.: Failure analysis, quality assurance, and business excellence. J. Fail. Anal. Prev. 13, 119–120 (2013)

    Article  Google Scholar 

Download references

Acknowledgements

The paper is the result of the project implementation “Advanced planning and control of discrete production”, code ITMS: 313012T109, supported by the Operational Program Research and Innovation funded by the ERDF; and it was prepared thanks to support by the Ministry of Education of the Slovak Republic through the grants APVV-19-0550 and KEGA 007TUKE-4/2018.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Peter Pavol Monka .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Monka, P.P., Monkova, K., Jahnátek, A., Vanca, J. (2021). Flexible Manufacturing System Simulation and Optimization. In: Mitrovic, N., Mladenovic, G., Mitrovic, A. (eds) Experimental and Computational Investigations in Engineering. CNNTech 2020. Lecture Notes in Networks and Systems, vol 153. Springer, Cham. https://doi.org/10.1007/978-3-030-58362-0_4

Download citation

Publish with us

Policies and ethics