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An Economic Model for Evaluating Mining and Manufacturing Ventures with Output Yield Uncertainty

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  • Bardia Kamrad

    (Georgetown University, McDonough School of Business, Washington, D.C. 20057)

  • Ricardo Ernst

    (Georgetown University, McDonough School of Business, Washington, D.C. 20057)

Abstract

This paper develops an operational risk management model for evaluating production efforts in manufacturing and mining industries where the resource to be exploited is nonhomogenous. Using a contingent claims methodology now commonly encountered in financial applications, we formulate a production control model in an environment characterized by market and process uncertainty. In our analysis, market risk is depicted by the output price while process uncertainty is captured by the random variability inherent in the output's yield. In this light, adjustments to the rate of production are viewed as a sequence of (nested) real options affording operating flexibility. We account for an optimal sequence of production adjustments, over a preestablished production horizon, by taking the production rate as an adapted positive real-valued process. Accordingly, techniques of stochastic control theory and contingent claims analysis (CCA) are employed to ensure value maximizing production policies are rendered in a manner consistent with an equilibrium price structure.

Suggested Citation

  • Bardia Kamrad & Ricardo Ernst, 2001. "An Economic Model for Evaluating Mining and Manufacturing Ventures with Output Yield Uncertainty," Operations Research, INFORMS, vol. 49(5), pages 690-699, October.
  • Handle: RePEc:inm:oropre:v:49:y:2001:i:5:p:690-699
    DOI: 10.1287/opre.49.5.690.10610
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. S H Martzoukos, 2009. "Real R&D options and optimal activation of two-dimensional random controls," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(6), pages 843-858, June.
    2. Anna Maria Gambaro & Nicola Secomandi, 2021. "A Discussion of Non‐Gaussian Price Processes for Energy and Commodity Operations," Production and Operations Management, Production and Operations Management Society, vol. 30(1), pages 47-67, January.
    3. René Caldentey & Lawrence M. Wein, 2006. "Revenue Management of a Make-to-Stock Queue," Operations Research, INFORMS, vol. 54(5), pages 859-875, October.
    4. Savolainen, Jyrki, 2016. "Real options in metal mining project valuation: Review of literature," Resources Policy, Elsevier, vol. 50(C), pages 49-65.
    5. Tinglong Dai & Kinshuk Jerath, 2019. "Salesforce Contracting Under Uncertain Demand and Supply: Double Moral Hazard and Optimality of Smooth Contracts," Marketing Science, INFORMS, vol. 38(5), pages 852-870, September.
    6. Miller, Luke & Bertus, Mark, 2005. "License valuation in the aerospace industry: A real options approach," Review of Financial Economics, Elsevier, vol. 14(3-4), pages 225-239.
    7. Dimitrakopoulos, Roussos G. & Abdel Sabour, Sabry A., 2007. "Evaluating mine plans under uncertainty: Can the real options make a difference?," Resources Policy, Elsevier, vol. 32(3), pages 116-125, September.
    8. Bardia Kamrad & Akhtar Siddique & Ricardo Ernst, 2012. "Partial equilibrium in risk‐based production decisions," Naval Research Logistics (NRL), John Wiley & Sons, vol. 59(1), pages 1-17, February.
    9. Choi, Tsan-Ming, 2015. "Sustainable management of mining operations with accidents: A mean-variance optimization model," Resources Policy, Elsevier, vol. 46(P1), pages 116-122.
    10. Hazra, Tanmoy & Samanta, Biswajit & Dey, Kaushik, 2019. "Real option valuation of an Indian iron ore deposit through system dynamics model," Resources Policy, Elsevier, vol. 60(C), pages 288-299.
    11. Bardia Kamrad & Keith Ord, 2006. "Market risk and process uncertainty in production operations," Naval Research Logistics (NRL), John Wiley & Sons, vol. 53(7), pages 627-640, October.
    12. Luke Miller & Mark Bertus, 2005. "License valuation in the aerospace industry: A real options approach," Review of Financial Economics, John Wiley & Sons, vol. 14(3-4), pages 225-239.
    13. Mohebbi, E., 2008. "A note on a production control model for a facility with limited storage capacity in a random environment," European Journal of Operational Research, Elsevier, vol. 190(2), pages 562-570, October.

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