Whittle, J. (1988). Beyond optimization in open pit design, in Proceedings Canadian Conference on Computer Applications in the Mineral Industries, pp 331-337.
 Whittle, J. (1999). A decade of open pit mine planning and optimization: The craft of turning algorithms into packages, In Proceedings of APCOM ’99 Computer Applications in the Minerals Industries 28th International Symposium, pp 15-24.
 Ataee-pour, M. (2005). A Linear model for determination of block economic values, the 19th International Mining Congress and Fair of Turkey, pp. 289-294.
 Dimitrakopoulos, R., Farrelly, C.T. and Godoy, M. (2002). Moving forward from traditional optimization – Grade uncertainty and risk effects in open pit design, Transactions of the Institutions of Mining and Metallurgy, Mining Technology 111, pp. A82-A88.
 Brennan, M.J. and Schwartz, E.S. (1985a). Evaluating natural resource investments, Journal of Business 58(2), pp. 135-157.
 Brennan, M.J. and Schwartz, E.S. (1985b). A New approach to evaluating natural resource investments, Midland Corporate Finance Journal 3, pp. 37-47.
 Trigeorgis, L. (1993). The nature of option interactions and the valuation of investments with multiple real options, Journal of Financial and Quantitative Analysis 28, pp. 1–20.
 Moyen, N., Slade, M. and Uppal, R. (1996). Valuing risk and flexibility a comparison of methods, Resources Policy 22, pp. 63–74.
 Kelly, S. (1998). A binomial lattice approach for valuing a mining property IPO, Quarterly Review of Economic Finance 38, pp. 693–709.
 Moel, A. and Tufano, P. (2002). When are real options exercised? An empirical study of mine closings, Review of Financial Studies 15, pp. 35–64.
 Monkhouse, P.H.L. and Yeates, G. (2005). Beyond naive optimisation. Orebody Model-ling and Strategic Mine Planning 14. In: Dimitrakopoulos, R. (Ed.). The Australasian Institute of Mining and Metallurgy, Melbourne, pp. 3–8.
 Abdel Sabour, S.A. and Poulin, R. (2006). Valuing real capital investments using the least-squares Monte Carlo method, The Engineering Economist 51, pp. 141–160.
 Camus, J.P. (2002). Management of mineral resources – creatingvalue in the mining business, Society for Mining, Metallurgy and Exploration Inc, Littleton, pp. 107.
 Akbari, A., Osanloo, M. and Shirazi, M. (2008). Determination of ultimate pit Limits in Open-pit mines using Real Option approach, IUST International Journal of Engineering Science 19, pp. 23-38.
 Akbari, A., Osanloo, M. and Shirazi, M. (2009). Reserve estimation of an open pit mine underprice uncertainty by real option approach, Mining Science and Technology 19, pp. 0709–0717.
 Jaszczuk, M. and Kania, J. (2008). Coal production costs components and coal price as crucial factors in the designation of coal output, Archives of Mining Sciences 53, pp. 183-214.
 Dimitrakopoulos, R.G. and Sabry, A.S. (2007). Evaluating mine plans under uncertainty: Can the real options make a difference?, Resources Policy 32, pp. 116–125.
 Henry, E., Marcotte, D. and Samis, M. (2004). Valuing a mine as a portfolio of European call options - The effect of geological uncertainty and implications for strategic planning, In: Leuangthong, O. and Deutsch, C.V. (eds.), Geostatistics, Banff: Canada, pp. 501-510.
 Li, S. and Knights, P. (2009). Integration of real options into short - term mine planning and production scheduling, Mining Science and Technology 9, pp. 674–678.
 Movagharnejad, K., Mehdizadeh, B., Banihashemi, M. and Sheikhi Kordkheili, M. (2011). Forecasting the differences between various commercial oil prices in the Persian Gulf region by neural network, Energy 36, pp. 3979-3984.
Evatt, G.W., Soltan, M.O. and Johnson, P.V. (2012). Mineral reserves underprice uncertainty, Resources Policy 37, pp. 340-345.
 Erdem, O., Güyagüler, T. and Demirel, N. (2012). Uncertainty assessment for the evaluation of net present value: a mining industry perspective, The Journal of The Southern African Institute of Mining and Metallurgy, pp. 405-412.
 Azimi, Y., Osanloo, M. and Esfahanipour, A. (2013). An uncertainty based multi-criteria ranking system for open pit mining cut-off grade strategy selection, Resources Policy 38, pp. 212–223.
 Godarzi, A.A., Madadi Amiri, R., Talaei, A. and Jamasb, T. (2014). Predicting oil price movements: A dynamic Artificial Neural Network approach, Energy Policy 68, pp. 371–382.
 Curry, J.A., Ismay, M.J.L. and Jameson, G.J. (2014). Mine operating costs and the potential impacts of energy and grinding, Minerals Engineering 56, pp. 70–80.
 Dehghani, H., Ataee-pour, M. and Esfahanipour, A. (2014). Evaluation of the mining projects under economic uncertainties using multidimensional binomial tree, Resources Policy 39, pp. 124-133.
 Dehghani, H and Shirkavand, R. Evaluation of mining projects under the impact of economic uncertainty by using the time series. The 5th Conference of mining engineering. 22-24 meher. 1393.
 Dehghani, H., Joderi shokri, B. and Goodarzi moazzami rad, H. coal price forecast using the method of two-tree and such. The second National Congress of coal, Iran, 5-7 Shahrivar. 1393.
 Dehghani, H. and Ataee-pour, M. (2011). Determination of the effect of operating cost uncertainty on mining project evaluation, Resources Policy 37, pp. 109–117.
 Palisade Corporation. (2011). @Risk: A hands-on tutorial, Experts Corner
 Raii, R and Saidi, A. (1389). The basics of financial engineering and risk management. Publications of the Ministry of culture and Islamic guidance, pp 372.
 Roman, R. (1974). The role of time value of money in determining an open pit mining sequence and pit limits. In: Johnson, T. and Gentry, D. (edS.), 12th APCOM, Colorado School of Mines, Golden, CO, pp. 72–85.