Skip to main content
SpringerLink
Log in

Information Design Management of Machining Parts on Metal Cutting Machines

  • Conference paper
  • First Online:
Advances in Production (ISPEM 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 790))

  • 213 Accesses

Abstract

This article deals with the problem of technological production preparation, as the task of choosing the optimal machining method on machine tools with numerical control. The task of finding the optimal solution is considered in the context of Industry 4.0 and 5.0 paradigms. The analysis of the possibilities for increasing the technological readiness of enterprises made it possible to identify qualitative and quantitative criteria for assessing the flexibility of production. Also determined the main compensation resource that allows you to provide adaptability. The optimality of solutions is determined based on their economic efficiency and cognitive complexity. The proposed approach allows organizing the process of forming all possible decision alternatives and performing their preliminary assessment according to several optimality criteria in the automated system of technological preparation of production. The possibility of interaction between information systems and decision-makers is shown in the information management of the design processes of the technology for machining parts on metal-cutting machines. The article presents the results of testing the proposed method, proving its effectiveness.

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

Access this chapter

Log in via an institution
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. Ghobakhloo, M., Fathi, M., Iranmanesh, M., Maroufkhani, P., Morales, M. E.: Industry 4.0 ten years on: a bibliometric and systematic review of concepts, sustainability value drivers, and success determinants. J. Clean. Prod. 302, 127052. Elsevier BV (2021)

    Google Scholar 

  2. Xu, X., Lu, Y., Vogel-Heuser, B., Wang, L.: Industry 4.0 and industry 5.0—inception, conception and perception. J. Manuf. Syst. 61, 530–535. Elsevier BV (2021)

    Google Scholar 

  3. Chehami, A., Baboli, A., Einabadi, B., Ebrahimi, M., Rother E.: Determination and prioritization of flexibility types in the context of industry 4.0: a use case in automotive industry. In: 2022 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) Proceedings, pp. 1529–1535. IEEE, Kuala Lumpur, Malaysia (2022). https://doi.org/10.1109/IEEM55944.2022.9989757

  4. Boyer, K.K., Leong, G.K.: Manufacturing flexibility at the plant level. Omega: Int. J. Manage. Sci. 24(5), 495–510 (1996)

    Google Scholar 

  5. YounesSinaki, R., Sadeghi, A., Mosadegh, H., Almasarwah, N., Suer, G.: Cellular manufacturing design 1996–2021: a review and introduction to applications of industry 4.0. Int. J. Prod. Res. 61, 5585–5636 (2022). https://doi.org/10.1080/00207543.2022.2105763

  6. Sethi, A.K.: Flexibility in Manufacturing: A Survey. Kluwer Academic Publishers (1990)

    Google Scholar 

  7. Sokolov, O., Hosovsky, A., Ivanov, V., Pavlenko, I.: Movement monitoring system for a pneumatic muscle actuator. J. Eng. Sci. 10(1), A1–A5 (2023). https://doi.org/10.21272/jes.2023.10(1)

    Article  Google Scholar 

  8. Priyadarshini, J., Gupta, A.K.: Mapping and visualizing flexible manufacturing system in business and management: a systematic review and future agenda. J. Modell. Manage. (2023) https://doi.org/10.1108/JM2-02-2022-0035

  9. Ranta, J.: The impact of electronics and information technology on the future trends and applications of CIM technologies 260, 231–260 (1989)

    Google Scholar 

  10. Gan, Z.L., Musa, S.N., Yap, H.J.: A review of the high-mix, low-volume manufacturing industry. Appl. Sci. 13(3), 1687 https://doi.org/10.3390/app13031687

  11. Brill, P., Mandelbaum, M.: On Measures of Flexibility in Manufacturing Systems? (1987)

    Google Scholar 

  12. Renna, P., Materi, S., Ambrico, M.: Review of responsiveness and sustainable concepts in cellular manufacturing systems. Appl. Sci. 13(2), 1125 (2023). https://doi.org/10.3390/app13021125

  13. Stecke, K.E., Suri, R.: Proceedings of the second ORSA/TIMS (1986) Conference on Flexible Manufacturing Systems – Operations Research Models and Applications, Held at the University of Michigan, Ann Arbor, MI, USA, 12–15 August 1986, vol. 2. Elsevier Science Limited

    Google Scholar 

  14. Kegg, R.L.: Flexible manufacturing trends and data base requirements (1984)

    Google Scholar 

  15. Ivchenko, O., et al.: Method for an effective selection of tools and cutting conditions during precise turning of non-alloy quality steel C45. Materials 15, 505 (2022). https://doi.org/10.3390/ma15020505

    Article  Google Scholar 

  16. Chung, C.H., Chen, I.J.: A systematic assessment of the value of flexibility for an FMS. In: Proceedings of the Third ORSA/TIMS Conference on FMS, Cambridge, Massachusetts, pp. 27–34 (1989)

    Google Scholar 

  17. Buzacott, J.A., Mandelbaum, M.: Flexibility and productivity in manufacturing systems. In: Proceedings of the Annual IIE Conference, pp. 404–413 (1985)

    Google Scholar 

  18. Ranta J., Alabyan, A.K.: Interactive analysis of FMS productivity and flexibility (1988)

    Google Scholar 

  19. Ancelin, B.: Quels critères de performance pour les nouveaux ateliers? Rev. française Gest. Ind. 8(1), 65–84 (1989)

    Google Scholar 

  20. Varela, M.L.R., et al.: Collaborative paradigm for single-machine scheduling under just-in-time principles: total holding-tardiness cost problem. Manage. Prod. Eng. Rev. 9(1), 90–103 (2018). https://doi.org/10.24425/119404

  21. Gerwin, D., Tarondeau, J.-C.: International comparisons of manufacturing flexibility. Manag. Int. Manuf. 169–185 (1989)

    Google Scholar 

  22. Mikhalevich, V.S., Volkovich, V.L., Voloshin A.F.: Algorithms for sequential analysis and variant screening in discrete optimization problems. Cybernetics 3, 76–84 (1980)

    Google Scholar 

  23. Kuhnle, A., Kaiser, J.P., Theiß, F., et al.: Designing an adaptive production control system using reinforcement learning. J. Intell. Manuf. 32, 855–876 (2021). https://doi.org/10.1007/s10845-020-01612-y

    Article  Google Scholar 

  24. de Lacalle, L.N.L., Lamikiz, A.: Machine tools for high performance machining. Springer, London (2010). https://doi.org/10.1007/978-1-84800-380-4

  25. Propoi, A.I.: Elements of the Theory of Optimal Discrete Processes. Nauka, Moscow (1973)

    Google Scholar 

  26. Gihman, I., Skorohod, A.: Controlled Stochastic Processes. Springer, New York, NY (2012) https://doi.org/10.1007/978-1-4612-6202-2

  27. Pavlenko, P.M., Khlevny, A.O., Zaritskyi, O.V., Khlevna, Y.L., Tretyak, V.V.: Certificate No. 60620 on registration of copyright, 07/14/2015. Computer program Technology of automated management of project works of technical preparation of aviation and machine-building production (“U TPV”). Statement 05/14/2015, published 14.07.2015

    Google Scholar 

  28. Pavlenko, P., Zaritskyy, O., Khlevnyy, A.: Information technology for performance management of industrial production. Eastern-Eur. J. Enterp. Technol. 1(2), 24–30 (2015)

    Article  Google Scholar 

Download references

Acknowledgment

The research was partially supported by the Polish National Agency for Academic Exchange within the project “Strengthening the scientific cooperation of the Poznan University of Technology and Sumy State University in the field of mechanical engineering” (agreement no. BPI/UE/2022/8–00).

Author information

Authors and Affiliations

  1. Sumy State University, Sumy, 40007, Ukraine

    Vira Shendryk

  2. Zhejiang Ocean University, Zhoushan, 316022, People’s Republic of China

    Petro Pavlenko

  3. Poznan University of Technology, 60965, Poznan, Poland

    Justyna Trojanowska

Authors
  1. Vira Shendryk
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Petro Pavlenko
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Justyna Trojanowska
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Vira Shendryk .

Editor information

Editors and Affiliations

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

    Anna Burduk

  2. Liverpool John Moores University, Liverpool, UK

    Andre Batako

  3. School of Engineering, University of Minho, Guimarães, Portugal

    José Machado

  4. Katedra Budowy Maszyn, Politechnika Śląska, Gliwice, Poland

    Ryszard Wyczółkowski

  5. Rzeszow University of Technology, Rzeszów, Poland

    Katarzyna Antosz

  6. Lublin University of Technology, Lublin, Poland

    Arkadiusz Gola

Rights and permissions

Reprints and permissions

Copyright information

© 2023 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

Shendryk, V., Pavlenko, P., Trojanowska, J. (2023). Information Design Management of Machining Parts on Metal Cutting Machines. In: Burduk, A., Batako, A., Machado, J., Wyczółkowski, R., Antosz, K., Gola, A. (eds) Advances in Production. ISPEM 2023. Lecture Notes in Networks and Systems, vol 790. Springer, Cham. https://doi.org/10.1007/978-3-031-45021-1_11

Download citation

Publish with us

Policies and ethics

Search

Navigation