Skip to main content
SpringerLink
Log in

Probabilistic Modeling of Mining Production in an Underground Coal Mine

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

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 835))

  • 2017 Accesses

Abstract

The article presents probabilistic modeling of mining production in hard coal mines with the application of stochastic networks. The paper includes basic definitions and assumptions of the evolved method and the systematic enabling the description of network activities. As a results of calculations according to the mathematical model the paper presents probability distributions of output for each production flow and for a whole mine in each of the calculated variants. To estimate the risk of output results the standard deviation of the distribution was assumed. Probability distributions form the basis of the optimization procedure. An application of the developed method in a coal mine is presented.

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 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

Similar content being viewed by others

References

  1. Baynes, F.J.: Sources of geotechnical risk. Q. J. Eng. Geol. Hydrogeol. 43(3), 321–331 (2010). https://doi.org/10.1144/1470-9236/08-003

    Article  Google Scholar 

  2. Brazil, M., Thomas, D.A.: Network optimization for the design of underground mines. Networks 49(1), 40–50 (2007)

    Article  MathSciNet  Google Scholar 

  3. Brzychczy, E.: Modeling and optimization method of mining works in hard coal mine with an application of stochastic networks. Ph.D. thesis, AGH University of Science and Technology (2005). (in Polish)

    Google Scholar 

  4. Dawson, R.J., Dawson, C.W.: Generalized activity-on-the-node networks for managing uncertainty in projects. Int. J. Proj. Manage. 13(6), 353–362 (1995). https://doi.org/10.1016/0263-7863(95)00027-5. Elsevier Science Ltd and IPMA

    Article  Google Scholar 

  5. Dawson, R.J., Dawson, C.W.: Practical proposals for managing uncertainty and risk in project planning. Int. J. Proj. Manage. 16(5), 299–310 (1998). https://doi.org/10.1016/s0263-7863(97)00059-8. Elsevier Science Ltd and IPMA

    Article  Google Scholar 

  6. Haque, M.A., Topal, E., Lilford, E.: A numerical study for a mining project using real options valuation under commodity price uncertainty. Resour. Policy 39, 115–123 (2014). https://doi.org/10.1016/j.resourpol.2013.12.004

    Article  Google Scholar 

  7. Kazakidis, V.N., Scoble, M.: Planning for flexibility in underground mine production systems. Min. Eng. 55(8), 33–38 (2003)

    Google Scholar 

  8. Kurihara, K., Nishiuchi, N.: Efficient Monte Carlo simulation method of GERT-type network for project management. Comput. Ind. Eng. 42(2–4), 521–531 (2002). https://doi.org/10.1016/s0360-8352(02)00050-5

    Article  Google Scholar 

  9. Laslo, Z.: Activity time-cost tradeoffs under time and cost chance constraints. Comput. Ind. Eng. 44(3), 365–384 (2003). https://doi.org/10.1016/s0360-8352(02)00214-0

    Article  Google Scholar 

  10. Lockyer, K.G., Gordon, J.: Project Management and Project Network Techniques. Financial Times/Prentice Hall, London (2005)

    Google Scholar 

  11. Nahmias, S., Olsen, T.L.: Production and Operations Analysis, 7th edn. Waveland Press (2015)

    Google Scholar 

  12. Pritsker, A.A.B., Happ, W.W.: GERT – graphical evaluation and review technique. Part 1, fundamentals. J. Ind. Eng. 17(5), 267–274 (1966)

    Google Scholar 

  13. Pritsker, A.A.B., Whitehouse, C.E.: GERT – graphical evaluation and review technique. Part 2, probabilistic and industrial engineering applications. J. Ind. Eng. 17(6), 293–301 (1966)

    Google Scholar 

  14. Summers J.: Analysis and management of mining risk. In: MassMin 2000, Brisbane (2000)

    Google Scholar 

  15. Voropajev, V.I., Ljubkin, S.M., Titarenko, B.P., Golenko-Ginzburg, D.: Structural classification of network models. Int. J. Project Manage. 18(5), 361–368 (2000). https://doi.org/10.1016/s0263-7863(99)00032-0

    Article  Google Scholar 

Download references

Acknowledgements

This paper presents the results of research conducted at AGH University of Science and Technology – contract no 11.11.100.693

Author information

Authors and Affiliations

  1. Faculty of Mining and Geoengineering, AGH University of Science and Technology, al. Mickiewicza 30, 30-065, Cracow, Poland

    Edyta Brzychczy

Authors
  1. Edyta Brzychczy
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Edyta Brzychczy .

Editor information

Editors and Affiliations

  1. Faculty of Mechanical Engineering, Wrocław University of Science and Technology, Wrocław, Poland

    Anna Burduk

  2. Faculty of Mechanical Engineering, Wrocław University of Science and Technology, Wrocław, Poland

    Edward Chlebus

  3. Faculty of Mechanical Engineering, Wrocław University of Science and Technology, Wrocław, Poland

    Tomasz Nowakowski

  4. Faculty of Mechanical Engineering, Wrocław University of Science and Technology, Wrocław, Poland

    Agnieszka Tubis

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

Brzychczy, E. (2019). Probabilistic Modeling of Mining Production in an Underground Coal Mine. 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_62

Download citation

Publish with us

Policies and ethics

Search

Navigation