Skip to main content

Research of the Relationship Between Business Processes in Production and Logistics Based on Local Models

  • Conference paper
  • First Online:
Book cover Optimization of Complex Systems: Theory, Models, Algorithms and Applications (WCGO 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 991))

Included in the following conference series:

Abstract

It is impossible to fully display the all properties of a business process with one monolithic model. This article proposes a basic model that is integrated from the so-called local models. The purposes and essence of the functions of local models (LM) and variants of the organization of the basic (general) model (GM) from local ones are disclosed.

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. Van der Aalst, W.M.P.: On the automatic generation of workflow processes based on product structures. Comput. Ind. 39(2), 97111 (1999)

    Google Scholar 

  2. Vlkner, P., Werners, B.: A decision support system for business process planning. Eur. J. Oper. Res. 125(3), 633647 (2000)

    Google Scholar 

  3. Preparation of Papers in a Two-Column Format for the 2018.: In: 18th International Conference on Control, Automation and Systems (ICCAS 2018)

    Google Scholar 

  4. Zhang, Y., Feng, S.C., Wang, X., Tian, W., Wu, R.: Object-oriented manufacturing resource modelling for adaptive process planning. Int. J. Prod. Res. 37(18), 41794195 (1999)

    Google Scholar 

  5. Zhang, F., Zhang, Y.F., Nee, A.Y.C.: Using genetic algorithms in process planning for job shop machining. IEEE Trans. Evol. Comput. 1(4), 278289 (1997)

    Google Scholar 

  6. Duisebekova, K., Serbin, V., Ukubasova, G., Kebekpayeva, Z., Aigul, S., Rakhmetulayeva, S., Shaikhanova, A., Duisebekov, T., Kozhamzharova, D.: Design and development of automation system of business processes in educational activity. J. Eng. Appl. Sci. 8, 4702–4714 (2017) (ISSN:86-949X, Medwell Journals)

    Google Scholar 

  7. Dabbas, R.M., Chen, H.-N.: Mining semiconductor manufacturing data for productivity improvementan integrated relational database approach. Comput. Ind. 45(1), 2944 (2001)

    Google Scholar 

  8. Musa, M.A., Othman, M.S., Al-Rahimi W.M.: Ontology driven knowledge map for enhancing business process reengineering. J. Comput. Sci. Eng. 3(6), 11 (2013) (Academy & Industry Research Collaboration Center (AIRCC))

    Google Scholar 

  9. Lila, R., Gunjan, M., Kweku-Muata, O.-B.: Building ontology based knowledge maps to assist business process re-engineering. J. Decis. Support Syst. 52(3), 577–589 (2012)

    Google Scholar 

Download references

Acknowledgments

This work was supported by Ministry of Education and Science Republic of Kazakhstan (Grant No. 0118PК01084, Digital transformation platform of National economy business processes BR05236517).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Rakhmetulayeva Sabina .

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

Uskenbayeva, R., Abu, K., Sabina, R., Aigerim, B. (2020). Research of the Relationship Between Business Processes in Production and Logistics Based on Local Models. In: Le Thi, H., Le, H., Pham Dinh, T. (eds) Optimization of Complex Systems: Theory, Models, Algorithms and Applications. WCGO 2019. Advances in Intelligent Systems and Computing, vol 991. Springer, Cham. https://doi.org/10.1007/978-3-030-21803-4_86

Download citation

Publish with us

Policies and ethics