Mining rate optimization considering the stockpiling: A theoretical economics and real option model

Kuangyuan Zhang, Andrew Nathan Kleit

Research output: Contribution to journalArticle

40 Citations (Scopus)

Abstract

In the extraction of metal from a mine, the intermediate ore between the economic and the breakeven cutoff grade is usually stockpiled for future processing once the mine is depleted. This research establishes a theoretical two-stage economic model to derive the value of this stockpile and how it affects optimal mining rate. By deriving the optimal condition for objective profit function and parameterized analysis, this research finds the stockpiling option can significantly boost a mine's profit. Processing the stockpiled material affects the optimal mining rate and cutoff grade strategy significantly compared to the case that it is not processed. The research also investigates the optimal mining rate's sensitivity to input variables such as commodity price, discounting rate, capital cost, and processing capacity, etc. In addition, the intrinsic advantages of this approach compared to the broadly used Lane's model (1988) are discussed.

Original languageEnglish (US)
Pages (from-to)87-94
Number of pages8
JournalResources Policy
Volume47
DOIs
StatePublished - Mar 1 2016

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theoretical economics
profit
economics
economic model
commodity price
commodity
costs
rate
Real options
Economics
Values
metal
cost

All Science Journal Classification (ASJC) codes

  • Sociology and Political Science
  • Economics and Econometrics
  • Management, Monitoring, Policy and Law
  • Law

Cite this

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Mining rate optimization considering the stockpiling : A theoretical economics and real option model. / Zhang, Kuangyuan; Kleit, Andrew Nathan.

In: Resources Policy, Vol. 47, 01.03.2016, p. 87-94.

Research output: Contribution to journalArticle

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