Skip to main content

Abstract

In the paper, the problem of proper resources management is considered. The problem was analysed and the results of a research on production improvement are presented, concerning specifically utilization rates of machinery and operators, as well as increase of production capacity. These aspects affect the efficiency of the whole production process. Thus, the proper resources management is an additional challenge that needs to be done by every manufacturing company. Examinations were carried-out in a company from the automotive industry, where the utilization of resources of three production lines were considered. In this case, the operators and machines utilization rates were emphasized. The optimization criteria was to increase the utilization rate of resources and reduce the time needed to produce one piece of each analysed products. The methods used to perform the improvement were, among the others, kanban and supermarket systems. The results were verified using computer simulation models designed for both present state and the state after implementing the suggested solutions.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
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

References

  1. Ratnayake, R.M.C., Stadnicka, D., Antosz, K.: Deriving an empirical model for machinery prioritization: mechanical systems maintenance. In: 2013 IEEE International Conference on Industrial Engineering and Engineering Management, Bangkok (2013)

    Google Scholar 

  2. Kotowska, J., Burduk, A.: Optimization of production support processes with the use of simulation tools. In: Wilimowska, Z., Borzemski, L., Świątek, J. (eds) Information Systems Architecture and Technology: Proceedings of 38th International Conference on Information Systems Architecture and Technology – ISAT 2017. Advances in Intelligent Systems and Computing, vol. 657, pp. 275–284 (2018)

    Google Scholar 

  3. Drevetskyi, V., Kovela, I., Kutia, V.: A method of comparative evaluation of control systems by the set of performance measures. Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska, vol. 3 (2017)

    Google Scholar 

  4. Kłos, S., Patalas-Maliszewska, J.: The topological impact of discrete manufacturing systems on the effectiveness of production processes. In: Rocha, Á., Correia, A., Adeli, H., Reis, L., Costanzo, S. (eds.) WorldCIST 2017. AISC, vol. 571, pp. 441–452. Springer, Cham (2017)

    Google Scholar 

  5. Grzybowska, K., Kovács, G.: The modelling and design process of coordination mechanisms in the supply chain. J. Appl. Logic 24, 25–38 (2017)

    Article  MathSciNet  Google Scholar 

  6. Krenczyk, D., Bocewicz, G.: Data-driven simulation model generation for ERP and DES systems integration. In: Jackowski, K., Burduk, R., Walkowiak, K., Wozniak, M., Yin, H. (eds) Intelligent Data Engineering and Automated Learning – IDEAL 2015. IDEAL 2015. Lecture Notes in Computer Science, vol 9375. Springer, Cham (2015)

    Chapter  Google Scholar 

  7. Gwiazda, A., Sekala, A., Banas, W.: Modeling of a production system using the multiagent approach. In: Modtech International Conference - Modern Technologies in Industrial Engineering V, IOP Conference Series-Materials Science and Engineering, vol. 227 (2017)

    Article  Google Scholar 

  8. Jasiulewicz-Kaczmarek, M.: The role of ergonomics in implementation of the social aspect of sustainability, illustrated with the example of maintenance. Occupational Safety and Hygiene, Occupational Safety and Hygiene, red. P. Arezes et al., CRC Press, Taylor & Francis Group, London (2013)

    Google Scholar 

  9. Rosienkiewicz, M., Gąbka, J., Helman, J., Kowalski, A., Susz, S.: Additive manufacturing technologies cost calculation as a crucial factor in industry 40. In: Hamrol, A., Ciszak, O., Legutko, S., Jurczyk, M. (eds.) Advances in Manufacturing. Lecture Notes in Mechanical Engineering. Springer, Cham (2018)

    Google Scholar 

  10. Kamińska, A.M., Parkitna, A., Górski, A.: Factors determining the development of small enterprises. In: Wilimowska, Z., Borzemski, L., Świątek, J. (eds) Information Systems Architecture and Technology: Proceedings of 38th International Conference on Information Systems Architecture and Technology – ISAT 2017. ISAT 2017. Advances in Intelligent Systems and Computing, vol 657. Springer, Cham (2018)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Anna Burduk .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Górnicka, D., Kochańska, J., Burduk, A. (2020). Production Resources Utilization Improvement with the Use of Simulation Modelling. In: Świątek, J., Borzemski, L., Wilimowska, Z. (eds) Information Systems Architecture and Technology: Proceedings of 40th Anniversary International Conference on Information Systems Architecture and Technology – ISAT 2019. ISAT 2019. Advances in Intelligent Systems and Computing, vol 1051. Springer, Cham. https://doi.org/10.1007/978-3-030-30604-5_4

Download citation

Publish with us

Policies and ethics