References
- R. Dimitrakopoulos Editor, Advances in Applied Strategic Mine Planning. Springer Nature Heidelberg (2018), https://doi.org/10.1007/978-3-319-69320-0
- A. Lamghari, Mine planning and oil field development: A survey and research potentials, Mathematical Geosciences. 49, 3 (2017), pp. 395–437. doi:https://doi.org/10.1007/s11004-017-9676-z
- S. Ramazan and R. Dimitrakopoulos, Stochastic Optimization Of Long-term Production Scheduling For Open Pit Mines With A New Integer Programming Formulation, in Orebody modelling and strategic mine planning, Spectrum series, Cham: Springer International Publishing, 2005, pp. 353–360.
- J. Benndorf and R. Dimitrakopoulos, Stochastic long-term production scheduling of iron ore deposits: Integrating joint multi-element geological uncertainty, . Journal of Mining Science 49 (1) (2013), pp. 68–81. doi:https://doi.org/10.1134/S1062739149010097.
- N.L. Mai, E. Topal, O. Erten, and B. Sommerville, A new risk-based optimisation method for the iron ore production scheduling using stochastic integer programming, Resour. Policy 62 (2019), pp. 571–579. doi:https://doi.org/10.1016/j.resourpol.2018.11.004
- S. Ramazan and R. Dimitrakopoulos, Production scheduling with uncertain supply: A new solution to the open pit mining problem, Optim. Eng. 14 (2) (2013), pp. 361–380. doi:https://doi.org/10.1007/s11081-012-9186-2.
- A. Khan and M.W.A. Asad, A method for optimal cut-off grade policy in open pit mining operations under uncertain supply, Resources Policy 60 (2019), pp. 178–184. doi:https://doi.org/10.1016/j.resourpol.2018.12.003
- A. Leite and R. Dimitrakopoulos, Stochastic optimisation model for open pit mine planning: Application and risk analysis at copper deposit, . Mining Technology 116 (3) (2007), pp. 109–118. doi:https://doi.org/10.1179/174328607X228848.
- F. Albor and R. Dimitrakopoulos, Stochastic mine design optimisation based on simulated annealing: Pit limits, production schedules, multiple orebody scenarios and sensitivity analysis, Min. Technol. 118 (2009), pp. 80–91.
- R. Goodfellow and R. Dimitrakopoulos, Algorithmic integration of geological uncertainty in pushback designs for complex multiprocess open pit mines, Mining Technology 122 (2) (2013), pp. 67–77. doi:https://doi.org/10.1179/147490013X13639459465736.
- L. Montiel and R. Dimitrakopoulos,Optimizing mining complexes with multiple processing and transportation alternatives: An uncertainty-based approach, European Journal of Operational Research. 247, 1 (2015), pp. 166–178. doi:https://doi.org/10.1016/j.ejor.2015.05.002
- A. Lamghari and R. Dimitrakopoulos, A diversified Tabu search approach for the open-pit mine production scheduling problem with metal uncertainty, European Journal of Operational Research. 222, 3 (2012), pp. 642–652. doi:https://doi.org/10.1016/j.ejor.2012.05.029
- R. Senécal and R. Dimitrakopoulos, Long-term mine production scheduling with multiple processing destinations under mineral supply uncertainty, based on multi-neighbourhood Tabu search, Int. J. Min. Reclam. Environ (2019), pp. 1–14. doi:https://doi.org/10.1080/17480930.2019.1595902.
- A. Lamghari, R. Dimitrakopoulos, and J.A. Ferland, A variable neighbourhood descent algorithm for the open-pit mine production scheduling problem with metal uncertainty, Journal of the Operational Research Society. 65, 9 (2014), pp. 1305–1314. doi:https://doi.org/10.1057/jors.2013.81
- S.-O. Gilani and J. Sattarvand, Integrating geological uncertainty in long-term open pit mine production planning by ant colony optimization, Computers & Geosciences 87 (2016), pp. 31–40. doi:https://doi.org/10.1016/j.cageo.2015.11.008
- M.E. Villalba Matamoros and M. Kumral, Underground mine planning: Stope layout optimisation under grade uncertainty using genetic algorithms, International Journal of Mining, Reclamation and Environment. 33, 5 (2019), pp. 353–370. doi:https://doi.org/10.1080/17480930.2018.1486692
- R. Goodfellow and R. Dimitrakopoulos, Global optimization of open pit mining complexes with uncertainty, Applied Soft Computing 40 (2016), pp. 292–304. doi:https://doi.org/10.1016/j.asoc.2015.11.038
- Z. Levinson and R. Dimitrakopoulos, Simultaneous stochastic optimization of an open-pit gold mining complex with waste management, Int. J. Min. Reclam. Environ (2019), pp. 1–15. doi:https://doi.org/10.1080/17480930.2019.1621441.
- Z. Saliba and R. Dimitrakopoulos, An application of simultaneous stochastic optimization of an open-pit mining complex with tailings management, Int. J. Min. Reclam. Environ (2019), pp. 1–14. doi:https://doi.org/10.1080/17480930.2019.1688954.
- M. de Freitas Silva, R. Dimitrakopoulos, and A. Lamghari, Solving a large SIP model for production scheduling at a gold mine with multiple processing streams and uncertain geology, Mining Technology. 124, 1 (2015), pp. 24–33. doi:https://doi.org/10.1179/1743286314Y.0000000075
- M.W.A. Asad, R. Dimitrakopoulos, and J. Van Eldert, Stochastic production phase design for an open pit mining complex with multiple processing streams, Engineering Optimization. 46, 8 (2014), pp. 1139–1152. doi:https://doi.org/10.1080/0305215X.2013.819094
- A. Lamghari and R. Dimitrakopoulos, Network-flow based algorithms for scheduling production in multi-processor open-pit mines accounting for metal uncertainty, European Journal of Operational Research. 250, 1 (2016), pp. 273–290. doi:https://doi.org/10.1016/j.ejor.2015.08.051
- A. Paithankar, S. Chatterjee, R. Goodfellow, and M.W.A. Asad, Simultaneous stochastic optimization of production sequence and dynamic cut-off grades in an open pit mining operation, Resources Policy 66 (2020), pp. 178–184. doi:https://doi.org/10.1016/j.resourpol.2020.101634
- A. Lamghari and R. Dimitrakopoulos, Hyper-heuristic approaches for strategic mine planning under uncertainty, Computers & Operations Research 115 (2020), pp. 1–18. doi:https://doi.org/10.1016/j.cor.2018.11.010
- A.D. Ajaka, E. Lilford, and E. Topal, Application of predictive data mining to create mine plan flexibility in the face of geological uncertainty, Resources Policy 55 (2018), pp. 62–79. doi:https://doi.org/10.1016/j.resourpol.2017.10.016
- S.C. Bouffard and P. Boggis, Stochastic optimization of the Jansen potash production and logistics chain, Mineral Processing and Extractive Metallurgy Review. 40, 3 (2019), pp. 207–217. doi:https://doi.org/10.1080/08827508.2018.1528974
- S. Ropke and D. Pisinger, An adaptive large neighborhood search heuristic for the pickup and delivery problem with time windows, Transportation Science 40 (4) (2006), pp. 455–472. doi:https://doi.org/10.1287/trsc.1050.0135.
- J. Birge and F. Louveaux, Introduction to Stochastic Programming, 2nd ed., Springer, New York, NY, 2011.
- R. Dimitrakopoulos and S. Ramazan, Uncertainty based production scheduling in open pit mining, SME Transactions 316 (2004), pp. 106–112.
- D. Pisinger and S. Ropke, A general heuristic for vehicle routing problems, 34 Comput, in Oper. Res, 34 (8) (2007), pp. 2403–2435. https://doi.org/https://doi.org/10.1016/j.cor.2005.09.012
- P. Shaw, A new local search algorithm providing high quality solutions to vehicle routing problems, Tech. Rep., Department of Computer Science, University of Strathclyde. Glasgow, UK (1997)
- N. Metropolis, A.W. Rosenbluth, M.N. Rosenbluth, and A.H. Teller, Equation of state calculations by fast computing machines, J. Chem. Phys. 21 (6) (1953), pp. 1087–1092. doi:https://doi.org/10.1063/1.1699114.
- E. Demir, T. Bektas, and G. Laporte, An adaptive large neighborhood search heuristic for the pollution-routing problem, Eur, J. Oper. Res. 223 (2) (2012), pp. 346–359. doi:https://doi.org/10.1016/j.ejor.2012.06.044.
- A.A. Kovacs, S.N. Parragh, K.F. Doerner, and R.F. Hartl, Adaptive large neighborhood search for service technician routing and scheduling problems, J, Journal of Scheduling 15 (5) (2012), pp. 579–600. doi:https://doi.org/10.1007/s10951-011-0246-9.
- R. Masson, F. Lehuede, and O. Peton, An adaptive large neighborhood search for the pickup and delivery problem with transfers, Transport, Sci 47 (2013), pp. 344–355.
- Y. Adulyasak, J.F. Cordeau, and R. Jans, Optimization-based adaptive large neighborhood search for the production routing problem, Transport, Sci 48 (2014), pp. 20–45.
- P. Goovaerts, Geostatistics for Natural Resources Evaluation, Oxford University Press, New York, 2017.
- M. Rossi and C. Deutsch, Mineral Resource Estimation, Springer, New York, 2014.
- J.J. Gomez-Hernandez and R.M. Srivastava, One step at a time: The origins of sequential simulation and beyond, Mathematical Geosciences 53 (2) (2021), pp. 193–209. doi:https://doi.org/10.1007/s11004-021-09926-0.
- A. Boucher and R. Dimitrakopoulos, Block Simulation of multiple correlated variables, Math, Geosci 41 (2009), pp. 215–237.