Skip to main content

Model of Application of Cluster Analysis in Storage Area Designing

  • Conference paper
  • First Online:
Book cover Intelligent Systems in Production Engineering and Maintenance (ISPEM 2018)

Abstract

The article deals with an application of cluster analysis in stock area designing. There was designed the model of application of cluster analysis in stock area designing, which was depicted on practical example and with that was verified the applicability of the designed model. Cluster analysis forms the clusters according to the similarity of finished products. According to the resulting clusters is divided the stock of finished products, for which is created 2D and 3D layout model of the stock.

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 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
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. Bacher, J., Poge, A., Wenzig, K.: Cluster Analysis - Application-Oriented Introduction to Classification Methods. Oldenbourg, Munchen (2010)

    Google Scholar 

  2. Everitt, B.S., Landau, S., Leese, M., Stahl, D.: Cluster Analysis. Wiley, London (2011)

    Book  Google Scholar 

  3. Han, J., Kamber, M.: Data Mining – Concepts and Techniques. MK Publisher, San Francisco (2006)

    MATH  Google Scholar 

  4. Kaufmann, L.: Finding Groups in Data: An Introduction in Cluster Analysis. Wiley, Hoboken (2005)

    Google Scholar 

  5. Straka, M.: Logistics of Distribution, How Effectively to Put Product Into the Market, 1st edn. EPOS (Original in Slovak), Bratislava (2013)

    Google Scholar 

  6. Trebuňa, P., Halčinová, J.: Experimental modelling of the cluster analysis processes. Procedia Eng. 48, 673–678 (2012)

    Article  Google Scholar 

  7. Palumbo, M., Lauro, C.N., Greenacre, M.J.: Data Analysis and Classification. Springer, Berlin (2010)

    Book  Google Scholar 

  8. Straka, M., Malindzak, D.: Distribution Logistics. TU Kosice, Kosice (2005)

    Google Scholar 

  9. Abonyi, J., Feil, B.: Cluster Analysis for Data Mining and System Identification. BV. Berlin, Berlin (2007)

    MATH  Google Scholar 

  10. Aldenderfer, M.S.: Cluster Analysis. Sage Publications, Thousand Oaks (1944). ISBN 0-8039-2376-7

    Google Scholar 

  11. Backhaus, K., Erichson, B., Plinke, W., Weiber, R.: Multivariate Analysemethoden. Springer, Munchen (2006)

    MATH  Google Scholar 

  12. Gan, G., Ma, Ch., Wu, J.: Data Clustering: Theory, Algorithms and Applications, PA, Alexandria (2007)

    Google Scholar 

  13. Rud, O.P.: Data Mining. Computer Press, Bratislava (2001)

    Google Scholar 

Download references

Acknowledgements

This article was created by implementation of the grant project VEGA 1/0708/16 “Development of a new research methods for simulation, assessment, evaluation and quantification of advanced methods of production”. KEGA 030TUKE-4/2017 “Implementation of innovative instruments for increasing the quality of higher education in the 5.2.52 Industrial Engineering field of study”.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jana Kronová .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Trebuňa, P., Kronová, J., Pekarčíková, M. (2019). Model of Application of Cluster Analysis in Storage Area Designing. 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. Springer, Cham. https://doi.org/10.1007/978-3-319-97490-3_22

Download citation

Publish with us

Policies and ethics