Skip to main content
SpringerLink
Log in

Risk Assessment of a Production System with Series-Parallel Reliability Structure

  • Conference paper
  • First Online:
Advances in Manufacturing Processes, Intelligent Methods and Systems in Production Engineering (GCMM 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 335))

Included in the following conference series:

Abstract

Each economic activity is accompanied with a risk influencing financial results of companies. Risk cannot be eliminated, but, with use of specially designed methods and tools, its size can be estimated and the actions aimed at its reduction can be undertaken. Risk management by systematic pursuing the policy that includes analysis, assessment and actions leading to a reduction of losses caused by the risk, is more and more often employed by production companies. Reduction of the risk negatively affecting financial results of companies is perceived as one of the possibilities to improve effectiveness and a chance to obtain the competitive advantage. In the paper, a concept of the reliability method of risk assessment is presented and verified on a practical example. The suggested method is composed of two stages. At the first stage, the risks of selected phases of the production process and production lines were determined by the FMEA method (Failure Mode and Effects Analysis). In the FMEA, the data from observations of the manufacturing process and the reports generated in the maintenance system were used. Application of FMEA made it possible to determine risks of selected elements of the entire manufacturing system. At the second stage, reliability structure of the production system was determined and, on that ground, the risk of non-performance of production orders for the entire plant was calculated.

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

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /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
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 149.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 199.99
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

Institutional subscriptions

Similar content being viewed by others

References

  1. Aabo, T., Fraser, J.R.S., Simkins, B.J.: The rise and transformation of the chief risk officer: a success story on enterprise risk management. J. Appl. Corp. Fin. 17(3), 62–75 (2005)

    Google Scholar 

  2. Antosz, K., Stadnicka, D., Ratnayake, R.C.: Development of a risk matrix for the assessment of maintenance suppliers: a study based on empirical knowledge. IFAC-PapersOnLine 50(1), 9026–9031 (2017)

    Article  Google Scholar 

  3. Aven, T.: Risk Analysis. Wiley, New York (2015)

    Book  Google Scholar 

  4. Bagowsky, I.: Reliability Theory and Practice. Prentice-Hall, Englewood Cliffs (1961)

    Google Scholar 

  5. Billinton, R., Ronald, N.A.: Reliability Valuation of Engineering Systems. Plenum Press, New York (1992)

    Book  Google Scholar 

  6. Burduk, A., Musiał, K., Kochańska, J., Górnicka, D., Stetsenko, A.: Tabu search and genetic algorithm for production process scheduling problem. LogForum 15 (2019)

    Google Scholar 

  7. Burduk, A., Chlebus, E.: Evaluation of the risk in production systems with a parallel reliability structure, Eksploatacja i Niezawodnosc-Maint. Reliab. (2), 84–95 (2009)

    Google Scholar 

  8. Cholewa, M., Helman, J., Molasy, M., Rosienkiewicz, M.: Identification of challenges to be overcome in the process of enhancing innovativeness based on implementation of central European projects funded from Interreg Programme. In: Burduk, A., Chlebus, E., Nowakowski, T., Tubis, A. (eds.) ISPEM 2018. AISC, vol. 835, pp. 185–194. Springer, Cham (2019). https://doi.org/10.1007/978-3-319-97490-3_18

    Chapter  Google Scholar 

  9. Cwikla, G., Grabowik, C., Kalinowski, K., Paprocka, I., Banas, W.: The initial considerations and tests on the use of real time locating system in manufacturing processes improvement. IOP Conf. Ser. Mater. Sci. Eng. 400(4), 042013 (2018)

    Google Scholar 

  10. Cwikla, G., Gwiazda, A., Banas, W., Monica, Z., Foit, K.: Assessment of the efficiency of the continuous improvement system based on Kaizen in an example company. IOP Conf. Ser. Mater. Sci. Eng. 400(6), 062008 (2018)

    Google Scholar 

  11. Dunjó, J., Fthenakis, V., Vílchez, J.A., Arnaldos, J.: Hazard and operability (HAZOP) analysis. a literature review. J. Hazard. Mater. 173(1–3), 19–32 (2010)

    Google Scholar 

  12. Gajdzik, B., Grzybowska, K.: Internal sources of risk in building employees’ attitudes of safe work in metallurgical enterprise. Metalurgija 5(2), 285–288 (2013)

    Google Scholar 

  13. Hoffmann, R, Kiedrowicz, M., Stanik, J.: Risk management system as the basic paradigm of the information security management system in an organization. In: MATEC Web of Conferences, vol. 76, p. 04010. EDP Sciences (2016)

    Google Scholar 

  14. IEEE Std 610.12-1990: IEEE Standard Glossary of Software Engineering Terminology, Institute of Electrical and Electronics Engineers, New York (1990)

    Google Scholar 

  15. Jasiulewicz-Kaczmarek, M., Legutko, S., Kluk, P.: Maintenance 4.0 technologies – new opportunities for sustainability driven maintenance. Manag. Prod. Eng. Rev. 11(2), 74–87 (2020)

    Google Scholar 

  16. Kabi, S., Papadopoulos, Y.: Applications of Bayesian networks and Petri nets in safety, reliability, and risk assessments: a review. Saf. Sci. 115, 154–175 (2019)

    Article  Google Scholar 

  17. Kłos, S., Patalas-Maliszewska, J.: An Analysis of the efficiency of a parallel-serial manufacturing system using simulation. In: Burduk, A., Chlebus, E., Nowakowski, T., Tubis, A. (eds.) Intelligent Systems in Production Engineering and Maintenance, ISPEM 2018. Advances in Intelligent Systems and Computing, vol. 835, pp. 32–43. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-97490-3_4

  18. Kłosowski, G., Gola, A.: Risk-based estimation of manufacturing order costs with artificial intelligence. In: 2016 Federated Conference on Computer Science and Information Systems (FedCSIS), pp. 729–732. IEEE (2016)

    Google Scholar 

  19. Kuric, I., Císar, M., Tlach, V., Zajačko, I., Gál, T., Więcek, D.: Technical diagnostics at the department of automation and production systems. In: Burduk, A., Chlebus, E., Nowakowski, T., Tubis, A. (eds.) Intelligent Systems in Production Engineering and Maintenance. ISPEM 2018. Advances in Intelligent Systems and Computing, vol. 835, pp. 474–484. Springer, Cham (2019). https://doi.org/10.1007/978-3-319-97490-3_46

  20. Ratnayake, R, Antosz, K.: Risk-based maintenance assessment in the manufacturing industry: minimisation of suboptimal prioritisation. Manag. Prod. Eng. Rev. 8, 38–45 (2017)

    Google Scholar 

  21. Shakya, R., Prashant, C.: Modelling of risk analysis in production system. IOP Conf. Ser. Mater. Sci. Eng. 691(1). IOP Publishing (2019)

    Google Scholar 

  22. Sawhney, R, Subburaman, K, Sonntag, C., Rao, P.R.V., Capizzi, C.: A modified FMEA approach to enhance reliability of lean systems. Int. J. Qual. Reliab. Manag. 27(7), 832–855 (2010)

    Google Scholar 

  23. Stanik, J., Kiedrowicz, M., Waszkowski, R.: Security and risk as a primary feature of the production process. In: International Conference on Intelligent Systems in Production Engineering and Maintenance, pp. 701–709. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-64465-3

    Chapter  Google Scholar 

  24. Yazdi, M., Kabir, S., Walker, M.: Uncertainty handling in fault tree based risk assessment: state of the art and future perspectives. Process Saf. Environ. Prot. 131, 89–104 (2019)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Faculty of Mechanical Engineering, Wrocław University of Science and Technology, Wybrzeże Wyspiańskiego 27 Street, 50-370, Wrocław, Poland

    A. Burduk

Authors
  1. A. Burduk
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to A. Burduk .

Editor information

Editors and Affiliations

  1. Liverpool John Moores University, Liverpool, UK

    Andre Batako

  2. Wroclaw University of Science and Technology, Wrocław, Poland

    Anna Burduk

  3. School of Civil Engineering and Built Environment, Liverpool John Moores University, Liverpool, UK

    Kanisius Karyono

  4. General Engineering Research Institute, Liverpool John Moores University, Liverpool, UK

    Xun Chen

  5. Faculty of Mechanical Engineering, Silesian University of Technology, Gliwice, Poland

    Ryszard Wyczółkowski

Rights and permissions

Reprints and permissions

Copyright information

© 2022 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

Burduk, A. (2022). Risk Assessment of a Production System with Series-Parallel Reliability Structure. In: Batako, A., Burduk, A., Karyono, K., Chen, X., Wyczółkowski, R. (eds) Advances in Manufacturing Processes, Intelligent Methods and Systems in Production Engineering. GCMM 2021. Lecture Notes in Networks and Systems, vol 335. Springer, Cham. https://doi.org/10.1007/978-3-030-90532-3_49

Download citation

Publish with us

Policies and ethics

Search

Navigation