Skip to main content

The Use of the TGŚP Module as a Database to Identify Breaks in the Work of Mining Machinery

  • Conference paper
  • First Online:

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 716))

Abstract

The article presents the results of the causes of breaks in selected mining machines work. The studied machines belong to the mechanized longwall system. Identification of the causes of these breaks was carried out using author’s database that was created on the basis of the information coming from the application, which is an integral part of the Means of Production Management Module (TGŚP). This module is one of the basic parts of the integrated enterprise management system SZYK2. The results clearly show that the developed solution enables more efficiently to identify the causes of breaks in examined machines work than previously used systems. It is the result of acquiring the tacit knowledge from dispatchers thanks to developed solutions.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
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

Learn about institutional subscriptions

References

  1. Integrated system for management support. www.coig.pl/dokumenty/katalog_informacyjny_szyk2.pdf. Accessed on 06 Dec 2016

  2. Brodny, J., Stecuła, K., Tutak, M.: Application of the TPM strategy to analyze the effectiveness of using a set of mining machines. In: 16th International Multidisciplinary Scientific GeoConference SGEM 2016, pp. 65–72 (2016)

    Google Scholar 

  3. Devenport, H.T., Prusak, L.: Working Knowledge: How Organizations Manage What That Know. Harvard Business School Press, Boston (1998)

    Google Scholar 

  4. Drucker, P.F.: The emerging theory of manufacturing. Harvard Business Review, pp. 94–102 (1990)

    Google Scholar 

  5. Kelly, A.: Strategic Maintenance Planning. Butterworth-Heinemann, Oxford (2006)

    Google Scholar 

  6. Kozielski, M., Sikora, M., Wróbel, Ł.: Decision support and maintenance system for natural hazards, processes and equipment monitoring. Eksploatacja i Niezawodność - Maint. Reliab. 18(2), 218–228 (2016)

    Article  Google Scholar 

  7. Michalak, M., Sikora, B., Sobczyk, J.: Diagnostic model for longwall conveyor engines. In: Gruca, A., Brachman, A., Kozielski, S., Czachórski, T. (eds.) Man–Machine Interactions 4. AISC, vol. 391, pp. 437–448. Springer, Cham (2016). doi:10.1007/978-3-319-23437-3_37

    Google Scholar 

  8. Stecuła, K., Brodny, J.: Application of the OEE model to analyze the availability of the mining armored face conveyor. In: 16th International Multidisciplinary Scientific GeoConference SGEM 2016, pp. 57–64 (2016)

    Google Scholar 

  9. Wrycza, W.: Analysis and Project of Management Informatics Systems: Methods, Techniques, Tools (in Polish). PWN, Warsaw (1999)

    Google Scholar 

  10. Yeates, D., Cadle, J.: Project Management for Information Systems. Pearson Education, Edinburgh Gate (1996)

    Google Scholar 

  11. Żółtowski, M.: Computer Aided Exploatation System Management in a Manufacturing Company (in Polish). Polish Society of Production Management Press, Opole (2011)

    Google Scholar 

Download references

Acknowledgments

This article is the result of the research project No. PBS3/B6/25/2015 “Aplication of the Overall Equipment Effectiveness method to improve the effectiveness of the mechanized longwall systems work in the coal exploitation process” realized in 2015–2017, financed by NCBiR.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Marcin Michalak .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

Brodny, J., Tutak, M., Michalak, M. (2017). The Use of the TGŚP Module as a Database to Identify Breaks in the Work of Mining Machinery. In: Kozielski, S., Mrozek, D., Kasprowski, P., Małysiak-Mrozek, B., Kostrzewa, D. (eds) Beyond Databases, Architectures and Structures. Towards Efficient Solutions for Data Analysis and Knowledge Representation. BDAS 2017. Communications in Computer and Information Science, vol 716. Springer, Cham. https://doi.org/10.1007/978-3-319-58274-0_35

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-58274-0_35

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-58273-3

  • Online ISBN: 978-3-319-58274-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics