Skip to main content

The Methodology of Modeling and Simulation of Human Resources and Industrial Robots in FlexSim

  • Chapter
  • First Online:

Part of the book series: EcoProduction ((ECOPROD))

Abstract

Nowadays, the manufacturing processes become more complex and difficult to analyze. Therefore, the computer simulation is widely used for modeling of manufacturing systems that can include human resources and industrial robots. In the article, the human- and robot-related factors are described, and the methodology of modeling and simulation of human operators and industrial robots is presented. It is based on Overall Equipment Effectiveness (OEE) factors and includes planned availability and failures, work performance, and product quality. An example of industrial press line with modeling and simulation of human resources and industrial robots in FlexSim is presented that allows for better representation and understanding of the real production process.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD   109.99
Price excludes VAT (USA)
  • Durable hardcover 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

Learn about institutional subscriptions

References

  1. Baines, T., Mason, S., Siebers, P.O., Ladbrook, J.: Humans: the missing link in manufacturing simulation? Simul. Model. Pract. Theory 12, 515–526 (2004)

    Article  Google Scholar 

  2. Banks, J., Carson, J.S., Nelson, B.L., Nicol, D.: Discrete-Event System Simulation, 5th edn. Prentice Hall, Upper Saddle River, NJ (2010)

    Google Scholar 

  3. Barney, M., McCarty, T.: The New Six Sigma. Prentice Hall Professional, New York (2001)

    Google Scholar 

  4. Beaverstock, M., Greenwood, A., Lavery, E., Nordgren, W.: Applied Simulation: Modeling and Analysis Using FlexSim. FlexSim Software Products Inc., Orem (2012)

    Google Scholar 

  5. Burduk, A.: Stability analysis of the production system using simulation models. In: Pawlewski, P., Greenwood, A. (eds.) Process Simulation and Optimization in Sustainable Logistics and Manufacturing, pp. 69–83. Springer, Cham (2014)

    Google Scholar 

  6. Chryssolouris, G.: Manufacturing Systems—Theory and Practice. Springer, New York (2005)

    Google Scholar 

  7. Davidrajuh, R.: Modeling Discrete-Event Systems with GPenSIM: An Introduction. Springer, New York (2018)

    Google Scholar 

  8. Delfo Poland Plant: Comau robotics tandem press line automation. https://www.youtube.com/watch?v=bDfkctxNJ10, 31 Jan 2018

  9. Dhillon, B.S., Aleem, M.A.: A report on robot reliability and safety in Canada: a survey of robot users. J. Qual. Maint. Eng. 6(1), 61–74 (2000)

    Article  Google Scholar 

  10. Doumeingts, G., Vallespir, B., Darracar, D.M.: Design methodology for advanced manufacturing systems. Comput. Ind. 9, 271–296 (1987)

    Article  Google Scholar 

  11. Genaidy, A.M., Gupta, T.: Robot and human performance evaluation. In: Rahimi, M., Karwowski, W. (eds.) Human–Robot Interaction, pp. 4–15. Taylor & Francis, London (1992)

    Google Scholar 

  12. Glaser, A.: Industrial Robots. Industrial Press, New York (2009)

    Google Scholar 

  13. Gołda G., Kampa A., Paprocka, I.: Simulation model of robotic manufacturing line. In: Ganzha, M., Maciaszek, L., Paprzycki, M. (eds.) Position Papers of the 2016 Federated Conference on Computer Science and Information Systems, Gdańsk, Poland, 11–14 September 2016, pp. 107–113. Polskie Towarzystwo Informatyczne, Warszawa (2016)

    Google Scholar 

  14. Gołda, G., Kampa, A., Paprocka, I.: Analysis of human operators and industrial robots performance and reliability. MPER 9(1), 24–33 (2018)

    Google Scholar 

  15. Greenwood, A., Pawlewski, P., Bocewicz, G.: A conceptual design tool to facilitate simulation model development: object flow diagram. In: Proceedings of the 2013 Winter Simulation Conference, pp. 1292–1303 (2013)

    Google Scholar 

  16. Groover, M.P.: Work Systems: The Methods, Measurement and Management of Work. Prentice Hall, Upper Saddle River, NJ (2007)

    Google Scholar 

  17. Hägele, M., Nilsson, K., Pires, J.N.: Industrial robotics. In: Siciliano, B., Khatib, O. (eds.) Springer Handbook of Robotics. Springer, Berlin (2008)

    Chapter  Google Scholar 

  18. Hansen, R.C.: Overall Equipment Effectiveness. Industrial Press, USA (2005)

    Google Scholar 

  19. Harriott, C.E., Adams, J.A.: Modeling human performance for human–robot systems. Rev. Hum. Factors Ergon. 9, 94 (2013). http://rev.sagepub.com/content/9/1/94

    Article  Google Scholar 

  20. Ingemansson, A., Bolmsjo, G.S.: Improved efficiency with production disturbance reduction in manufacturing systems based on discrete-event simulation. J. Manuf. Technol. Manag. 15(3), 267–279 (2004)

    Article  Google Scholar 

  21. Kamble, P.G., Hebbal, S.S.: An overview of manufacturing enterprise modeling and applications for CIM environment. Contemp. Eng. Sci. 3(5), 201–214 (2010)

    Google Scholar 

  22. Kampa A., Gołda G., Paprocka I.: Discrete event simulation method as a tool for improvement of manufacturing systems. Computers 6, 10 (2017). https://doi.org/10.3390/computers6010010

    Article  Google Scholar 

  23. Kampa, A.: Planning and scheduling of work in robotic manufacturing systems with flexible production. In: Skołud, B (ed.) Hueristic Methods of Project and Production Scheduling. Journal of Machine Engineering, vol. 12, no. 3, pp. 34–44 (2012)

    Google Scholar 

  24. Krenczyk, D.: Automatic Generation Method of Simulation Model for Production Planning and Simulation Systems Integration. Advanced Materials Research, vol. 1036, pp. 825–829. Trans Tech Publications, Switzerland (2014)

    Google Scholar 

  25. Krenczyk, D., Olender, M.: Production planning and control using advanced simulation systems. Int. J. Mod. Manuf. Technol. 6(2), 38–43 (2014)

    Google Scholar 

  26. Krenczyk, D., Kempa, W., Kalinowski, K., Grabowik, C., Paprocka, I.: Production planning and scheduling with material handling using modelling and simulation. In: Slatineanu, L., Nagit, G., Dodun, O., Merticaru, V., Coteata, M., Ripanu, M.I., Mihalache, A.M., Boca, M., Ibanescu, R., Panait, C.E., Oancea, G., Kyratsis. P. (eds.) The 21st Innovative Manufacturing Engineering & Energy International Conference. IMan E&E, Iasi, Romania, EDP Sciences, Les Ulis. https://doi.org/10.1051/matecconf/201711209015 (2017)

    Article  Google Scholar 

  27. Kulanek, R.: Press Excellence Center COMAU, i.e. robotics press line at the world level. http://www.robotyka.com/wiadomosc.php/wiadomosc.1256/press-excelence-center-comau-czyli-robotyzacja-linii-pras-na-swiatowym-poziomie, 31 Jan 2018

  28. Nof, S.Y.: Handbook of Industrial Robotics. Wiley, New York (1999)

    Book  Google Scholar 

  29. Robinson, S.: Conceptual modelling for simulation part I: definition and requirements. J. Oper. Res. Soc. 59(3), 278–290 (2008)

    Article  Google Scholar 

  30. Sharma, P.: Discrete-event simulation. Int. J. Sci. Technol. Res. 4(04), 136–140 (2015)

    Google Scholar 

  31. Smith, D.J.: Reliability, Maintainability and Risk: Practical Methods for Engineers. Elsevier, Oxford (2005)

    Google Scholar 

  32. Vis, I.F.A.: Survey of research in design and control of automated guided vehicle systems. Eur. J. Oper. Res. 170(3), 677–709 (2006)

    Article  MathSciNet  Google Scholar 

  33. Woods, D.D.: Modeling and predicting human error. In: Elkind, J., Card, S., Hochberg, J., Huey, B. (eds.) Human Performance Models for Computer-Aided Engineering, pp. 248–274. Academic Press, New York (1990)

    Chapter  Google Scholar 

  34. Xie, C., Allen, T.T.: Simulation and experimental design methods for job shop scheduling with material handling: a survey. Int. J. Adv. Manuf. Technol. 80, 233–243 (2015)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Adrian Kampa .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Gołda, G., Kampa, A., Krenczyk, D. (2019). The Methodology of Modeling and Simulation of Human Resources and Industrial Robots in FlexSim. In: Pawlewski, P., Hoffa-Dabrowska, P., Golinska-Dawson, P., Werner-Lewandowska, K. (eds) FlexSim in Academe: Teaching and Research. EcoProduction. Springer, Cham. https://doi.org/10.1007/978-3-030-04519-7_7

Download citation

Publish with us

Policies and ethics