• DocumentCode
    2708015
  • Title

    Computer-assisted Monte Carlo simulation of optimum cut-off grade in surface mining metal ore deposits

  • Author

    Shou-guo, Li ; Chang, Yang

  • Author_Institution
    Sch. of Manage., Xi´´an Univ. of Archit. & Technol., Xi´´an, China
  • fYear
    2012
  • fDate
    6-8 June 2012
  • Firstpage
    966
  • Lastpage
    970
  • Abstract
    This study attempts to obtain the optimum cut-off grade using Monte Carlo simulation assisted by real option theory. After studying the existing theories of real options, we introduce a jump diffusion real options price model to the traditional research on mineral resources price, and deduce a back - calculation formula about cut-off grade; then, produce some future prices by stochastic simulation; and then, simulate the future price changing process by using computer-assisted Monte Carlo method and indirectly obtain the optimal current cut-off grade; finally, take a mining enterprise as the detailed example to validate the results.
  • Keywords
    Monte Carlo methods; differential equations; mining industry; pricing; stochastic processes; computer-assisted Monte Carlo simulation; future price changing process; jump diffusion real option price model; mineral resource price; mining enterprise; optimal current cut-off grade; real option theory; stochastic simulation; surface mining metal ore deposits; Computational modeling; Gaussian distribution; Mathematical model; Mineral resources; Monte Carlo methods; Ores; Pricing; Computer simulation; Monte Carlo simulation; Optimization of cut-off grade; Real option pricing model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Automation (ICIA), 2012 International Conference on
  • Conference_Location
    Shenyang
  • Print_ISBN
    978-1-4673-2238-6
  • Electronic_ISBN
    978-1-4673-2236-2
  • Type

    conf

  • DOI
    10.1109/ICInfA.2012.6246956
  • Filename
    6246956