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.
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References
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
Brazil, M., Thomas, D.A.: Network optimization for the design of underground mines. Networks 49(1), 40–50 (2007)
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)
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
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
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
Kazakidis, V.N., Scoble, M.: Planning for flexibility in underground mine production systems. Min. Eng. 55(8), 33–38 (2003)
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
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
Lockyer, K.G., Gordon, J.: Project Management and Project Network Techniques. Financial Times/Prentice Hall, London (2005)
Nahmias, S., Olsen, T.L.: Production and Operations Analysis, 7th edn. Waveland Press (2015)
Pritsker, A.A.B., Happ, W.W.: GERT – graphical evaluation and review technique. Part 1, fundamentals. J. Ind. Eng. 17(5), 267–274 (1966)
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)
Summers J.: Analysis and management of mining risk. In: MassMin 2000, Brisbane (2000)
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
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This paper presents the results of research conducted at AGH University of Science and Technology – contract no 11.11.100.693
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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
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DOI: https://doi.org/10.1007/978-3-319-97490-3_62
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