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
Link To Document :
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