Logo PTI
Polish Information Processing Society
Logo FedCSIS

Annals of Computer Science and Information Systems, Volume 9

Position Papers of the 2016 Federated Conference on Computer Science and Information Systems

Simulation model of robotic manufacturing line

, ,

DOI: http://dx.doi.org/10.15439/2016F307

Citation: Position Papers of the 2016 Federated Conference on Computer Science and Information Systems, M. Ganzha, L. Maciaszek, M. Paprzycki (eds). ACSIS, Vol. 9, pages 107–113 ()

Full text

Abstract. The problem of production flow in the manufacturing line is analyzed. The machines can be operated by workers or by robots. Since breakdowns and human factors affect the destabilization of the production processes, robots are preferred to apply. The problem is how to determine the real difference in work efficiency between human and robot. Analysis of the productivity and reliability of the press shop lines operated by human operators or industrial robots are presented. Simulation models have been developed taking into account stochastic parameters of availability and reliability of the machines, operators and robots. We apply OEE (Overall Equipment Effectiveness) indicator to present how the availability and reliability parameters influence over performance of the workstation, in particular in the short time and long time period. Also the stability of simulation model was analyzed.

References

  1. Glaser ,A., “Industrial robots”, Industrial Press, New York, 2009.
  2. Hansen, Robert C., “Overall Equipment Effectiveness”, Industrial Press, 2005.
  3. Barney, M., McCarty, T., “The new Six Sigma”, Prentice Hall Professional, New York, 2001.
  4. Gurel, S., Korpeglu, E. Akturk, M.S., “An anticipative scheduling approach with controllable processing times”. Computers and Operations Resesarch, Vol. 37, Issue 6, June 2010, pp. 1002-1013.
  5. Kempa W., Paprocka I., Kalinowski K., Grabowik C., “Estimation of reliability characteristics in a production scheduling model with failures and time-changing parameters described by gamma and exponential distributions”. Trans Tech Publications, (Advanced Materials Research; vol. 837 1662-8985), 2014, pp. 116-121.
  6. Paprocka I., Kempa W., Kalinowski K., Grabowik C., “A production scheduling model with maintenance”, Trans Tech Publications, Advanced Materials Research ; vol. 1036 1662-8985, 2014, pp. 885-890.
  7. Smith D.J. “Reliability, Maintainability and Risk. Practical methods for engineers”, Elsevier, Oxford, 2005.
  8. Paprocka I., Kempa W., Kalinowski K., Grabowik C.: “Estimation of overall equipment effectiveness using simulation programme”. Modern technologies in industrial engineering (ModTech2015), 17-20 June 2015, Mamaia, Romania. Materials Science and Engineering ; vol. 95 1757-8981. Institute of Physics Publishing, Bristol, 2015, s. 1-6, http://dx.doi.org/10.1088/1757-899X/95/1/012155
  9. Genaidy, A.M., Gupta, T. “Robot and human performance evaluation”. In “Human –Robot Interaction” Editor M. Rahimi, W. Karwowski, Taylor & Francis, London, 1992, pp. 4-15.
  10. Nof S. Y. “Handbook of industrial robotics”. John Wiley & Sons, New York, 1999.
  11. Kampa A., Planning and scheduling of work in robotic manufacturing systems with flexible production. Ed. B. Skołud: Hueristic Methods of Project and Production Scheduling. Journal of Machine Engineering, Vol. 12, No. 3, 2012, pp. 34-44.
  12. Sakai, H., Amasaka, K., “The robot reliability design and improvement method and the advanced Toyota production system", Industrial Robot: An International Journal, Vol. 34, 4, 2007, pp. 310–316
  13. Hägele, M. Nilsson, K., Pires J. N. “Industrial Robotics”, in “Springer Handbook of Robotics”. Springer, Berlin, 2008
  14. Dhillon, B.S., Aleem, M.A.,"A report on robot reliability and safety in Canada: a survey of robot users ",Journal of Quality in Maintenance Engineering, Vol. 6 Issue 1, 2000, pp. 61–74.
  15. Baines, T., Mason, S., Siebers, P. O., Ladbrook, J., “Humans: the missing link in manufacturing simulation?”, Simulation Modelling Practice and Theory, No 12, 2004, pp. 515–526.
  16. Harriott, C. E., Adams, J. A., „Modeling Human Performance for Human–Robot Systems“, Reviews of Human Factors and Ergonomics, No 9, 94, 2013, http://rev.sagepub.com/content/9/1/94
  17. Kulanek, R. “Press Excelence Center COMAU, i.e. robotics press line at the world level”, available at www.robotyka.com 2014, (in polish, accessed 15.12.2015).
  18. Woods, D. D. “Modeling and predicting human error”, In J. Elkind, S. Card, J. Hochberg, and B. Huey (Eds.), Human performance models for computer-aided engineering Academic Press, 1990, pp. 248-274.
  19. Burduk, A., “Stability Analysis of the Production System Using Simulation Models”, Process Simulation and Optimization in Sustainable Logistics and Manufacturing, Springer, 2014, pp. 69-83.