Skip to main content

Development of Models for Computer Systems of Processing Information and Control for Tasks of Ergonomic Improvements

  • Conference paper
  • First Online:

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 920))

Abstract

The questions of search of ergonomic reserves of efficiency of computer systems of processing information and control are considered. A set of models of a computer system of processing information and control, describing it in the necessary sections, was developed. The results can be useful in design of information provision for Decision Support Systems, devoted to questions of programs ergonomic quality of automated systems.

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   39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • 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

Learn about institutional subscriptions

References

  1. Ge, Y., Wang, A., Cheng, J.: A spatial scheduling strategy for irregular workplace in shipbuilding. In: IEEE International Conference on Mechatronics and Automation, ICMA 2016, pp. 12–16. IEEE (2016). https://doi.org/10.1109/icma.2016.7558526

  2. Tanizaki, T., Shimmura, T., Fujii, N.: Shift scheduling to improve customer satisfaction, employee satisfaction and management satisfaction in service workplace where employees and robots collaborate. In: Hara, Y., Karagiannis, D. (eds.) Serviceology for Services, ICServ 2017. Lecture Notes in Computer Science, vol. 10371, pp. 15–25. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-61240-9_2

    Chapter  Google Scholar 

  3. Kempa, W.M., Woźniak, M., Nowicki, Robert K., Gabryel, M., Damaševicius, R.: Transient solution for queueing delay distribution in the GI/M/1/K-type mode with “Queued” waking up and balking. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2016. LNCS (LNAI), vol. 9693, pp. 340–351. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-39384-1_29

    Chapter  MATH  Google Scholar 

  4. Cacciabue, P.C.: Human error risk management for engineering systems: a methodology for design, safety assessment, accident investigation and training. Reliab. Eng. Syst. Saf. 83(2), 229–240 (2004). https://doi.org/10.1016/j.ress.2003.09.013

    Article  Google Scholar 

  5. De Felice, F., Petrillo, A.: Methodological approach for performing human reliability and error analysis in railway transportation system. Int. J. Eng. Technol. 3(5), 341–353 (2011)

    Google Scholar 

  6. De Felice, F., Petrillo, A., Carlomusto, A., Ramondo, A.: Human reliability analysis: a review of the state of the art. Int. J. Res. Manag. Technol. (IJRMT) 2(1), 36–41 (2012)

    Google Scholar 

  7. Dul, J., Bruder, R., Buckle, P., Carayon, P., Falzon, P., Marraset, W.S.: A strategy for human factors/ergonomics: developing the discipline and profession. Ergonomics 55(4), 377–395 (2012). https://doi.org/10.1080/00140139.2012.661087

    Article  Google Scholar 

  8. Boiko, A., Shendryk, V.: System integration and security of information systems. Procedia Comput. Sci. 104, 35–42 (2017). https://doi.org/10.1016/j.procs.2017.01.053

    Article  Google Scholar 

  9. Adamenko, A.N., Asherov, A.T., Lavrov, E.A., et al.: Information controlling human-machine systems: research, design, testing, Reference book. In: Gubinsky, A.I., Evgrafov, V.G. (eds.) Mechanical Engineering, Moscow (1993). (in Russian)

    Google Scholar 

  10. Aalipour, M., Ayele, Y.Z., Barabadi, A.: Human reliability assessment (HRA) in maintenance of production process: a case study. Int. J. Syst. Assur. Eng. Manag. 7(2), 229–238 (2016). https://doi.org/10.1007/s13198-016-0453-z

    Article  Google Scholar 

  11. Akyuz, E., Celik, M.: Computer-based human reliability analysis onboard ships. Procedia – Soc. Behav. Sci. 195, 1823–1832 (2015). https://doi.org/10.1016/j.sbspro.2015.06.398

    Article  Google Scholar 

  12. Bertolini, M., Bevilacqua, M.: Fuzzy cognitive maps for human reliability analysis in production systems. In: Kahraman, C., Yavuz, M. (eds.) Production Engineering and Management under Fuzziness. Studies in Fuzziness and Soft Computing, vol. 252, pp. 381–415. Springer, Heidelberg (2010). https://doi.org/10.1007/978-3-642-12052-7_16

    Chapter  Google Scholar 

  13. Martins, M.R., Matuna, M.C.: Application of Bayesian Belief networks to the human reliability analysis of an oil tanker operation focusing on collision accidents. Reliab. Eng. Syst. Saf. 110, 89–109 (2013). https://doi.org/10.1016/j.ress.2012.09.008

    Article  Google Scholar 

  14. Anokhin, A., Ivkin, A.: Evaluation of ecological interface design for supporting cognitive activity of nuclear plant operators. In: Proceedings of the 5th International Conference in Applied Human Factors and Ergonomics 2014 and the Affiliated Conferences, pp. 260–270 (2014)

    Google Scholar 

  15. Lavrov, E., Pasko, N., Tolbatov, A., Tolbatov, V.: Ergonomic reserves for improving reliability of data processing in distributed banking systems. In: Proceedings of 2nd International Conference on Advanced Information and Communication Technologies-2017 (AICT-2017), pp. 79–82, Lviv, Ukraine, 4–7 July 2017 (2017)

    Google Scholar 

  16. Sedova, N.A., Sedov, V.A., Bazhenov, R.I.: Analysis of emergency level at sea using fuzzy logic approaches. In: Hu, Z., Petoukhov, S., He, M. (eds.) Advances in Artificial Systems for Medicine and Education, AIMEE 2017. Advances in Intelligent Systems and Computing, vol. 658, pp. 314–322. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-67349-3_30

    Google Scholar 

  17. Sedov, V.A., Sedova, N.A., Glushkov, S.V.: The fuzzy model of ships collision risk rating in a heavy traffic zone. Vibroengineering PROCEDIA 8, 453–458 (2016)

    Google Scholar 

  18. Rotshtein, A., Shtovba, S.: Modeling of the human operator reliability with the aid of the Sugeno fuzzy knowledge base. Autom. Remote Control 70(1), 163–169 (2009)

    Article  MathSciNet  Google Scholar 

  19. Lavrov, E., Pasko, N.: Approach to optimization models bank forming for distributing of functions between the ACS operators. Eastern-European Journal of Enterprise Technologies. Ser. “Mathematics and Cybernetics – Fundamental and Applied Aspects” 1(4/49), pp. 46–50 (2011). (in Russian)

    Google Scholar 

  20. Lavrov, E., Pasko, N., Krivodub, A., Tolbatov, A.: Mathematical models for the distribution of functions between the operators of the computer-integrated flexible manufacturing systems. In: Proceedings of the XIII-th international conference TCSET-2016 “Modern Problems of Radio Engineering, Telecommunications, and Computer Science”, Lviv-Slavsko, Ukraine, 23–26 February 2016, pp. 72–76 (2016)

    Google Scholar 

  21. Lavrov, E., Pasko, N.: Approach to the formalized description of discrete activity in the systems “man-technology-environment”. Periodical of the Sumy State University. Series Technical Sciences 3, pp. 55–67 (2012)

    Google Scholar 

  22. Lavrov, E., Barchenko, N., Pasko, N., Borozenec, I.: Development of models for the formalized description of modular e-learning systems for the problems on providing ergonomic quality of human-computer interaction. Eastern-Eur. J. Enterp. Technol. Ser. Inf. Technol. 2(2/86), 4–13 (2017). https://doi.org/10.15587/1729-4061.2017.97718

    Article  Google Scholar 

  23. Lavrov, E., Barchenko, N., Pasko, N., Tolbatov, A.: Development of adaptation technologies to man-operator in distributed e-learning systems. In: Proceedings of 2nd International Conference on Advanced Information and Communication Technologies-2017 (AICT-2017), Lviv, Ukraine, 4–7 July 2017, pp. 83–87 (2017)

    Google Scholar 

  24. Lavrov, E., Pasko, N., Krivodub, A., Barchenko, N., Kontsevich, V.: Ergonomics of IT outsourcing: development of a mathematical model to distribute functions among operators. Eastern Eur. J. Enterp. Technol. 4(80), 32–40 (2016). https://doi.org/10.15587/1729-4061.2016.66021

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Nadiia Pasko .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Lavrov, E., Pasko, N. (2018). Development of Models for Computer Systems of Processing Information and Control for Tasks of Ergonomic Improvements. In: Damaševičius, R., Vasiljevienė, G. (eds) Information and Software Technologies. ICIST 2018. Communications in Computer and Information Science, vol 920. Springer, Cham. https://doi.org/10.1007/978-3-319-99972-2_8

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-99972-2_8

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-99971-5

  • Online ISBN: 978-3-319-99972-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics