Skip to main content
Log in

A model for open-pit pushback design with operational constraints

  • Research Article
  • Published:
Optimization and Engineering Aims and scope Submit manuscript

Abstract

Open-pit mines are surface excavations created to extract valuable material which, in most cases, is located near the surface. Pushbacks are connected regions of a mine with enough working area to support the mining operation over a defined period. Pushbacks designed without taking into consideration haulage ramps are defined here as semi-practical pushbacks. We introduce a new optimisation model for semi-practical pushbacks that accounts for operational conditions: minimum operational width and connectivity within the blocks that compose the pushbacks. Additionally, we propose an algorithm that uses a Sliding Window Heuristic, variable bounding, and other preprocessing routines to obtain solutions with less than 10% optimality gap for mining instances ranging between 30,000 to 50,000 blocks.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9

Similar content being viewed by others

References

  • Bai X, Marcotte D, Gamache M, Gregory D, Lapworth A (2018) Automatic generation of feasible mining pushbacks for open pit strategic planning. SAIMM 118(5):515–530

    Google Scholar 

  • Bley A, Boland N, Fricke C, Froyland G (2010) A strengthened formulation and cutting planes for the open pit mine production scheduling problem. Comput Oper Res 37(9):1641–1647. https://doi.org/10.1016/j.cor.2009.12.008

    Article  MATH  Google Scholar 

  • Cullenbine C, Wood RK, Newman A (2011) A sliding time window heuristic for open pit mine block sequencing. Optim Lett 5(3):365–377. https://doi.org/10.1007/s11590-011-0306-2

    Article  MathSciNet  MATH  Google Scholar 

  • Eccles A (2013) Take time for pit phase design. In: (2013) SME Annual Meeting & Exhibit. SME, Denver, Colorado, pp 468–472

  • Elkington T, Durham R (2011) Integrated open pit pushback selection and production capacity optimization. J Min Sci 47(2):177–190

    Article  Google Scholar 

  • Espinoza D, Goycoolea M, Moreno E, Newman A (2013) MineLib: a library of open pit mining problems. Ann Oper Res 206(1):93–114. https://doi.org/10.1007/s10479-012-1258-3

    Article  MathSciNet  MATH  Google Scholar 

  • Farmer I, Dimitrakopoulos R (2018) Schedule-based pushback design within the stochastic optimisation framework. Int J Min Reclam Environ 32(5):327–340. https://doi.org/10.1080/17480930.2017.1289606

    Article  Google Scholar 

  • Gaupp M (2008) Methods for improving the tractability of the block sequencing problem for open pit mining. Colorado School of Mines (PhD thesis)

  • Hustrulid WA, Kuchta M, Martin R (2013) Open pit mine planning and design, 3rd edn. CRC Press, Florida

    Google Scholar 

  • Juarez G, Dodds R, Echeverria A, Guzman JI, Recabarren M (2014) Open pit strategic mine planning with automatic phase generation. In: Dimitrakopoulos R (ed) Orebody modelling and strategic mine planning symposium. AusIMM, Perth, WA, pp 147–153

    Google Scholar 

  • Lerchs H, Grossmann IF (1965) Optimum design of open pit mines. Can Inst Min Metall Bull 58(633):47–54

    Google Scholar 

  • Meagher C, Dimitrakopoulos R, Avis D (2014a) Optimized open pit mine design, pushbacks and the gap problem-a review. J Min Sci 50(3):508–526. https://doi.org/10.1134/S1062739114030132

    Article  Google Scholar 

  • Meagher C, Dimitrakopoulos R, Vidal V (2014b) A new approach to constrained open pit pushback design using dynamic cut-off grades. J Min Sci 50(4):733–744. https://doi.org/10.1134/S1062739114040140

    Article  Google Scholar 

  • Newman AM, Rubio E, Caro R, Weintraub A, Eurek K (2010) A review of operations research in mine planning. Interfaces 40(3):222–245. https://doi.org/10.1287/inte.1090.0492

    Article  Google Scholar 

  • Ramazan S (1996) A new push back design algorithm in open pit mining. Colorado School of Mines (PhD thesis)

  • Tabesh M, Askari-Nasab H (2013) Open pit production planning using controled pushbacks and aggregates. In: 23rd World Mining Congress, CIM, Montreal, vol 2, pp 1–11

  • Wharton C, Whittle J (1997) The effect of minimum mining width on NPV. In: Whittle J (ed) Optimizing with Whittle. Whittle Programming Pty. Ltd, Perth, Western Australia, pp 173–178

    Google Scholar 

  • Yarmuch JL (2020) Optimisation in open-pit mine planning. The University of Melbourne (PhD thesis)

  • Yarmuch JL, Brazil M, Rubinstein H, Thomas DA (2020) Optimum ramp design in open pit mines. Comput Oper Res. https://doi.org/10.1016/j.cor.2019.06.013

    Article  MathSciNet  MATH  Google Scholar 

  • Yarmuch JL, Brazil M, Rubinstein H, Thomas DA (2021) A mathematical model for mineable pushback designs. Int J Min Reclam Environ 35(7):523–539. https://doi.org/10.1080/17480930.2021.1885582

    Article  Google Scholar 

  • Zhang M (2009) Applying simulated annealing to practical mining phase design. In: 34th Application of Computers and Operations Research in the Mineral Industry. CIM, Vancouver, pp 266–273

Download references

Acknowledgements

We want to express our gratitude to anonymous referees on this paper. Their insightful comments led to significant improvements in the scope and content of the results presented.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Juan L. Yarmuch.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Yarmuch, J.L., Brazil, M., Rubinstein, H. et al. A model for open-pit pushback design with operational constraints. Optim Eng 24, 623–639 (2023). https://doi.org/10.1007/s11081-021-09699-9

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11081-021-09699-9

Keywords

Navigation