388
Views
0
CrossRef citations to date
0
Altmetric
Article

Near-face stockpile open pit mining: a method to enhance NPV and quality of the plant throughput

, , ORCID Icon & ORCID Icon
Pages 200-215 | Received 03 Aug 2022, Accepted 15 Dec 2022, Published online: 28 Dec 2022

References

  • M. Osanloo and M. Paricheh, In-pit crushing and conveying technology in open-pit mining operations: A literature review and research agenda, Int. J. Min. Reclam. Environ 34 (6) (2020), pp. 430–457. doi:10.1080/17480930.2019.1565054.
  • B. Koushavand, H. Askari-Nasab, and C. V Deutsch, A linear programming model for long-term mine planning in the presence of grade uncertainty and a stockpile, Int. J. Min. Sci. Technol. 24, 4 (2014), pp. 451–459. doi:10.1016/j.ijmst.2014.05.006
  • M. Paricheh and M. Osanloo, Concurrent open-pit mine production and in-pit crushing–conveying system planning, Eng. Optim. 52, 10, (Oct 2020), pp. 1780–1795. doi:10.1080/0305215X.2019.1678150
  • P. Darling, SME Mining Engineering Handbook, 3rd ed. Vol. 2, Society for Mining, Metallurgy, and Exploration, Englewood, Colorado, USA, 2011.
  • M. Rezakhah and A. Newman, “Open pit mine planning with degradation due to stockpiling,” Comput. Oper. Res., vol. 115, Nov. 2018, doi: 10.1016/j.cor.2018.11.009. 104589
  • M. Paricheh, In-pit crusher location as a dynamic location problem, J. South Afr. Inst. Min. Metall. 117, 6, (Jun 2017), pp. 599–607. doi:10.17159/2411-9717/2017/V117N6A11
  • R. Utley, “In-pit crushing,” in SME Mining Engineering Handbook, 3rd ed. P. Darling, ed. pp. 941–956. (2011). Society for Mining, Metallurgy and Exploration, Englewood, Colorado, USA.
  • K. Jupp, T.J. Howard, and J.E. Everett, Role of pre-crusher stockpiling for grade control in iron ore mining, Appl. Earth Sci. 122 (4) (2013), pp. 242–255. doi:10.1179/1743275814Y.0000000045.
  • S. Alarie and M. Gamache, Overview of solution strategies used in truck dispatching systems for open pit mines, Int. J. Min. Reclam. Environ. 16, 1 (2002), pp. 59–76. doi:10.1076/ijsm.16.1.59.3408
  • A. Moradi Afrapoli and H. Askari-Nasab, Mining fleet management systems: A review of models and algorithms, Int. J. Min. Reclam. Environ. 33, 1 (2019), pp. 42–60. doi:10.1080/17480930.2017.1336607
  • D. Morrisson and I. Lourel, “In-pit crushing and conveying,” in Iron Ore Conference. pp. 27–29. Perth, Australia, 2009.
  • M. Foley, In-pit crushing: Wave of the future, Aust. min. ind, 1, (2012), pp. 46–53.
  • M. Nehring, P.F. Knights, M.S. Kizil, and E. Hay, A comparison of strategic mine planning approaches for in-pit crushing and conveying, and truck/shovel systems, Int. J. Min. Sci. Technol. 28, 2 (2018), pp. 205–214. doi:10.1016/j.ijmst.2017.12.026
  • E. Ben-Awuah and H. Askari-Nasab, Incorporating waste management into oil sands long term production planning, Min. Tech. 122, 1 (2013), pp. 33–45. doi:10.1179/1743286312Y.0000000031
  • M.M. Badiozamani, E. Ben-Awuah, and H. Askari-Nasab, Mixed integer linear programming for oil sands production planning and tailings management, Environ. Inform. Arch. 32 (2) (2019), pp. 96–104. doi:10.3808/JEI.201900405.
  • H. Lerchs and I. Grossmann, Optimum design of open pit mines, Canadian. Min and Metallurgical Bulletin 58 (1965), pp. 17–24.
  • H. Askari-Nasab, S. Frimpong, J. Szymanksi, and J. Szymanski, Modelling open pit dynamics using discrete simulation, Int. J. Min. Reclam. Environ. 21, 1 (2007), pp. 35–49. doi:10.1080/17480930600720206
  • R. Dimitrakopoulos, L. Martinez, and S. Ramazan, Optimising open pit design with simulated orebodies and whittle four-x – A maximum upside/minimum downside approach, Orebody. Modelling and Strategic Min. Planning 14 (2007), pp. 201–206.
  • H. Askari-Nasab, S. Frimpong, and J. Szymanksi, Investigating the continuous time open pit dynamics, J. South Afr. Inst. Min. Metal 108 (2008), pp. 61–73.
  • H. Askari-Nasab and K. Awuah-Offei, Open pit optimisation using discounted economic block values, Trans. Inst. Mining Metall. A Mining Technol 118 (1) (2009), pp. 1–12. doi:10.1179/037178409X12450752943243.
  • H. Askari-Nasab, Y. Pourrahimian, E. Ben-Awuah, and S. Kalantari, Mixed integer linear programming formulations for open pit production scheduling, J. Min. Sci. 47, 3 (2011), pp. 338–359. doi:10.1134/S1062739147030117
  • E. Ben-Awuah, Simultaneous production scheduling and waste management optimization for an oil sands application, Environ. Inform. Arch. 26 (2) (2015), pp. 80–90. doi:10.3808/jei.201500305.
  • A. Lamghari, Mine planning and oil field development: a survey and research potentials, Math. Geosci. 49, 3, (Feb 2017), pp. 395–437. doi:10.1007/S11004-017-9676-Z
  • M. Tabesh, C. Mieth, and H. Askari-Nasab, A multi-step approach to long-term open-pit production planning, IJMME. 5, 4 (2014), pp. 273–298. doi:10.1504/IJMME.2014.066577
  • W. Hustrulid, M. Kuchta, and R. Martin, Open Pit Mine Planning & Design, 3rd Edition ed, CRC Press, Taylor & Francis Group, Hoboken, 2013.
  • M.M. Badiozamani and H. Askari-Nasab, “Integration of long-term mine planning, tailings and reclamation plans,” in Society for Mining, Metallurgy & Exploration (SME) Annual Meeting, 2013, vol. 1, Englewood, Colorado, USA, pp. 1–8.
  • K. Dagdelen, Open pit optimization-strategies for improving economics of mining projects through mine planning, 17th Inter. Min. Congress and Exhibition of Turkey 117 (2001), pp. 121.
  • S.P.P. Upadhyay and H. Askari-Nasab, Truck-shovel allocation optimisation: A goal programming approach, Min. Tech. 125, 2 (2016), pp. 1–11. doi:10.1179/1743286315Y.0000000024
  • A. Maremi, E. Ben-Awuah, and H. Askari-Nasab, “Multi-objective mathematical programming framework for integrated oil sands mine planning and tailings disposal optimization,” Min. Metallurgy & Exploration 38 3, pp. 1355–1374, Apr. 2021, doi: 10.1007/S42461-021-00418-7.
  • M. Tabesh and H. Askari-Nasab, Automatic creation of mining polygons using hierarchical clustering techniques, J. Min. Science 49 (3) (2013), pp. 426–439. doi:10.1134/S1062739149030106.
  • M.S. Shishvan and J. Sattarvand, Long term production planning of open pit mines by ant colony optimization, Eur. J. Oper. Res. 240, 3 (2015), pp. 825–836. doi:10.1016/j.ejor.2014.07.040
  • S. Ramazan and R. Dimitrakopoulos, “Stochastic optimisation of long-term production scheduling for open pit mines with a new integer programming formulation,” Adv . Appl. Strat. Min. Planning, pp. 139–153, Jan. 2018, doi: 10.1007/978-3-319-69320-0_11/FIGURES/3.
  • J. Gholamnejad and S. Kasmaee, Optimum blending of iron ore from Choghart stockpiles by using goal programming, J. Cent. South Univ. 19, 4 (2012), pp. 1081–1085. doi:10.1007/s11771-012-1112-4
  • S. Ramazan and R. Dimitrakopoulos, Production scheduling with uncertain supply: A new solution to the open pit mining problem, Optim and Eng. 14, 2, (Jun 2013), pp. 361–380. doi:10.1007/s11081-012-9186-2
  • A. Mousavi, E. Kozan, and Q.L. Shi, Open-pit block sequencing optimization: A mathematical model and solution technique, Eng. Optim. 48 (11) (2016), pp. 1932–1950. doi:10.1080/0305215X.2016.1142080.
  • A. Kumar and S. Chatterjee, Open-pit coal mine production sequencing incorporating grade blending and stockpiling options: An application from an Indian mine, Eng. Optim. 49 (5) (2017), pp. 762–776. doi:10.1080/0305215x.2016.1210312.
  • F. Souza, L.S. Chaves, H. Burgarelli, A. Nader, C. Arroyo, and L. Alberto, Direct stockpile scheduling: Mathematical formulation, DYNA. (Colombia). 85, 204, (Jan 2018), pp. 296–301. doi:10.15446/DYNA.V85N204.62642
  • A. Bley, N. Boland, G. Froyland, and M. Zuckerberg, 8 Nov, (2012), “Solving mixed integer nonlinear programming problems for mine production planning with stockpiling.“ Available at https://optimization-online.org/2012/11/3674/
  • M. Tabesh, H. Askari-Nasab, and R. Peroni, pp. 326–332, (2015). A Comprehensive Approach to Strategic Open Pit Mine Planning with Stockpile Consideration Applications of Computers and Operations Research in Mineral Industry - 37th APCOM May 23-27, 2015, Fairbanks, AK.
  • A. Paithankar and S. Chatterjee, “Open pit mine production schedule optimization using a hybrid of maximum-flow and genetic algorithms,” Appl. Soft. Comput, p. 105507, May 2019, doi: 10.1016/J.ASOC.2019.105507. 81
  • M. Tabesh and H. Askari-Nasab, Clustering mining blocks in presence of geological uncertainty, Min. Tech: Trans. Instit. Min and Metallurgy. 128, 3, (Jul 2019), pp. 162–176. doi:10.1080/25726668.2019.1596425
  • The MathWorks Inc., “MATLAB R2018b.” The MathWorks Inc., Natick, Massachusetts, United States, 2018. [Online]. Available: https://www.mathworks.com/help/matlab/index.html?s_tid=srchtitle
  • IBM ILOG CPLEX Optimization Studio, IBM ILOG.
  • E. Ben-Awuah and N.S. Hosseini, An economic evaluation of a primary haulage system for a Bauxite mine: Load and haul versus in-pit crushing and conveying, Min. Optim. Lab 1 (2017), pp. 109.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.