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Development and analysis of a methodology to generate operational open-pit mine ramp designs automatically

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Abstract

A critical step in planning an open-pit operation corresponds to the design of ramps required to access the different sectors and levels. This design is very complicated because the ramps affect the excavation’s shape, therefore, its economic value. Thus, planners generate contours to be used as reference for the design. These contours (or equivalently the volume they contain) are generated by mathematical models that aim to optimize the economic value that is contained in them. Then, through Computer-Aided Design software, planners manually draw the operational design that, hopefully, retrieves as much value as possible from the reference volumes and is operationally feasible. Unfortunately, this manual process does not ensure the quality of the design, leading to results that are not optimal and are highly dependent on the engineer’s expertise. This article presents a methodology that starts from the same reference volume that the planner uses to generate a mine design automatically. It works in two steps. Firstly, it uses integer programming to generate a new discretized contour but containing enough space for ramps. Secondly, it utilizes a computer algorithm to transform the discretized profile into an operational pit design that complies with the mine design’s geometrical constraints. To study the proposed methodology’s applicability, we considered three cases with their corresponding reference pushbacks and used our approach to create 15 different operational designs (in total). In two of the three cases, the methodology generated profiles that were, at worst, within less than \(2\%\) deviation in value and tonnage. In the third case, the loss in economic value was more than \(11\%\); however, this performance was equivalent to a manual design produced by an engineer.

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References

  • Altiti A, Alrawashdeh R, Alnawafleh H (2021). Open Pit Min. https://doi.org/10.5772/intechopen.92208

    Article  Google Scholar 

  • Asad M, Topal E (2011) Net present value maximization model for optimum cut-off grade policy of open pit mining operations. J Southern African Inst Min Metall 111:741–750

    Google Scholar 

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

    Google Scholar 

  • Behnamian J (2017) Matheuristic for decentralized factories scheduling problem. Appl Mathem Modell 47:668–684

    Article  MathSciNet  MATH  Google Scholar 

  • Bienstock D, Zuckerberg M (2009) A new LP algorithm for precedence constrained production scheduling. Optimization Online, 1–33

  • Bienstock D, Zuckerberg M (2010) Solving LP relaxations of large-scale precedence constrained problems. In: IPCO, p 1–14

  • Brazil M, Thomas DA (2007) Network optimization for the design of underground mines. Networks 49:40–50

    Article  MathSciNet  MATH  Google Scholar 

  • Brazil M, Thomas DA, Weng JF, Rubinstein JH, Lee DH (2005) Cost optimisation for underground mining networks. Optimiz Eng 6(2):241–256

    Article  MathSciNet  MATH  Google Scholar 

  • Brazil M, Grossman PA, Lee DH, Rubinstein JH, Thomas DA, Wormald NC (2007) Constrained path optimisation for underground mine layout. In: World Congress on Engineering, p 856–861

  • Cochilco (2017) Mining in chile: Future and challenges. http://www.cochilco.cl, accessed 30

  • Couzens T (1979) Aspects of production planning: Operating layout and phase plans. AGARD Report, AIME, pp 217–231

  • Cullenbine C, Wood R, Newman A (2011) A sliding time window heuristic for open pit mine block sequencing. Optimiz Lett 5(3):365–377

    Article  MathSciNet  MATH  Google Scholar 

  • Dagdelen K (2001) Open pit optimization-strategies for improving economics of mining projects through mine planning. In: 17th International Mining Congress and Exhibition of Turkey, p 117–121

  • Delphos (2018) Minelink M.P.L. http://www.delphoslab.cl, accessed 18 July 2018

  • Dowd P, Onur A (1992) Optimising open pit design and sequencing. In: Proc. 23rd International Symposium of Application of Computers and Operations Research, p 411–422

  • Dubins LE (1957) On curves of minimal length with a constraint on average curvature, and with prescribed initial and terminal positions and tangents. American J Mathem 79:497–516

    Article  MathSciNet  MATH  Google Scholar 

  • Espejo N, Morales N, Nancel-Penard P (2019) A methodology for automatic ramp design in open pit mines. J Min Eng Res 1(2):87–93

    Article  Google Scholar 

  • Espinoza D, Goycoolea M, Moreno E, Newman A (2013) Minelib: a library of open pit mining problems. Annals Operat Res 206(1):93–114

    Article  MathSciNet  MATH  Google Scholar 

  • Gemcom (2018) \(\text{Gemcom} \text{ Whittle}^{\rm TM}\) Strategic Mine Planning software. http://www.gemcomsoftware.com/products/whittle, accessed 18 July 2018

  • Gilani SO, Sattarvand J (2015) A new heuristic non-linear approach for modeling the variable slope angles in open pit mine planning algorithms. Acta Montanistica Slovaca 20(2):251–259

    Google Scholar 

  • Gill T (1999) Express road routing: the application of an optimal haul road generator to real world data. Optimizing with Whittle Whittle Programming Pty Ltd, Perth, Western Australia, p 71–80

  • Gillies S, et al. (2007) Shapely: manipulation and analysis of geometric objects. https://github.com/Toblerity/Shapely

  • Gurobi (2018) Gurobi™ Gurobi Optimization. http://www.gurobi.com, accessed 18 July 2018

  • Hartman HL, Mutmansky JM (2002) Introduction Mining Engineering, 1st edn. John Wiley and Sons, United states

    Google Scholar 

  • Hochbaum DS (2008) The pseudoflow algorithm: a new algorithm for the maximum-flow problem. Operat Res 56:992–1009

    Article  MathSciNet  MATH  Google Scholar 

  • Hochbaum DS, Chen A (2000) Performance analysis and best implementations of old and new algorithms for the open-pit mining problem. Operat Res 48:894–914

    Article  Google Scholar 

  • Hochbaum DS, Orlin JB (2012) Simplifications and speedups of the pseudoflow algorithm. Networks 61:40–57

    Article  MathSciNet  MATH  Google Scholar 

  • Hustrulid W, Kuchta M, Martin R (2013) Open Pit Mine Planning and Design, Two Volume Set and CD-ROM Pack. CRC Press, https://books.google.cl/books?id=3XTOBQAAQBAJ

  • Johnson T (1968) Optimum open-pit mine production scheduling. PhD thesis, Operations Research Department, University of California, Berkeley

  • Johnson T (1969) A Decade Of Digital Computing In The Mineral Industry, chap Optimum open-pit mine production scheduling, p 539–562

  • Jélvez E, Morales N, Nancel-Penard P, Peypouquet J, Reyes P (2016) Aggregation heuristic for the open-pit block scheduling problem. European J Operat Res 249(3):1169–1177

    Article  MathSciNet  MATH  Google Scholar 

  • Khalokakaie R, Dowd PA, Fowell RJ (2000) Lerchs-grossmann algorithm with variable slope angles. Min Technol 109(2):77–85. https://doi.org/10.1179/mnt.2000.109.2.77

    Article  Google Scholar 

  • Klotz E, Newman AM (2013) Practical guidelines for solving difficult mixed integer linear programs. Surveys in Operat Res Manag Sci 18(1–2):18–32

    MathSciNet  Google Scholar 

  • Lambert W, Brickey A, Newman A, Eurek K (2014) Open-pit block-sequencing formulations: a tutorial. Interfaces 44(2):127–142

    Article  Google Scholar 

  • Lamghari A, Dimitrakopoulos R, Ferland JA (2014) A hybrid method based on linear programming and variable neighborhood descent for scheduling production in open-pit mines. J Global Optimiz 63(3):555–582

    Article  MathSciNet  MATH  Google Scholar 

  • Lerchs H, Grossman H (1965) Optimal design of open-pit mines. Trans CIM 58:47–54

    Google Scholar 

  • Letelier OR, Espinoza D, Goycoolea M, Moreno E, Noz GM (2020) Production scheduling for strategic open pit mine planning. A mixed-integer programm approach. Op Res. 68(5):1425–1444

    MATH  Google Scholar 

  • Li F, Klette R (2007) Rubberband algorithms for solving various 2d or 3d shortest path problems. In: ICCTA, p 9–19

  • Liu S, Kozan E (2016) New graph-based algorithm to efficiently solve large scale open pit mining optimization problems. Expert Syst With Appl 43:59–65

    Article  Google Scholar 

  • Montane S, Nancel-Penard P, Morales N (2019) Optimization and sequencing a semiautomated ramp design in underground mining: a case study. In: Proceedings of the 28th Symposium on Mineplanning and Equipment Selection, p 139–145

  • Morales N, Nancel-Penard P, Parra A (2017) An integer linear programming model for optimising open pit ramp design. In: Proceedings of the 38th International Symposium APCOM Proceedings, p 9–16

  • Moreno R, Reyes-Jara M, Nancel-Penard P (2020) A comparison between open-pit ramp design obtained by varying design characteristics and through linear optimization. In: Proceeeding of 8th Mass Mining Conference, p 1442–1450

  • Mousavi A, Kozan E, Liu SQ (2016) Comparative analysis of three metaheuristics for short-term open pit block sequencing. J Heuristics 22(3):301–329

    Article  MATH  Google Scholar 

  • Nancel-Penard P, Morales N (2021). Optimizing pushback design considering minimum mining width for open pit strategic planning. Engineering Optimization, p 1-15

  • Nancel-Penard P, Parra A, Morales N, Díaz C, Widzyk-Capehart E (2019) Value-optimal design of ramps in open-pit mining. Arch Min Sci 64(2):399–413

    Google Scholar 

  • Picard J (1976) Maximal closure of a graph and applications to combinatorial problems. Manag Sci 22:1268–1272

    Article  MathSciNet  MATH  Google Scholar 

  • Read J, Stacey P (2009). Guidelines for Open Pit Slope Design. https://doi.org/10.1071/9780643101104

  • Samavati M, Essam D, Nehring M, Sarker R (2017) A local branching heuristic for the open pit mine production scheduling problem. European J Operat Res 257(1):261–271

    Article  MathSciNet  MATH  Google Scholar 

  • Sattarvand J, Shisvan M (2012) Modelling of accurate variable slope angles in open-pit mine design using spline interpolation. Arch Min Sci 57(4):921–932

    Google Scholar 

  • Sussmann HJ (1995) Shortest 3-dimensional paths with a prescribed curvature bound. In: Proceedings of 1995 34th IEEE Conference on Decision and Control, 4, 3306–3312

  • Tabesh M, Mieth C, Askari Nasab H (2014) A multi-step approach to long-term open-pit production planning. Int J Min Mineral Eng 5:273–298

    Article  Google Scholar 

  • Thompson R, Visser A (1999) Management of unpaved road networks on opencast mines. Transp Res Rec J Transp Res Board 1652:217–224

    Article  Google Scholar 

  • Yardimci AG, Karpuz C (2017) Optimized path planning in underground mine ramp design using genetic algorithm. MPES. Luleå University of Technology, Division of Operation and Maintenance Engineering, p 247–252

  • Yarmuch JL, Brazil M, Rubinstein H, Thomas DA (2020) Optimum ramp design in open pit mines. Comput Operat Res 115:104739

    Article  MathSciNet  MATH  Google Scholar 

  • Yarmuch JL, Brazil M, Rubinstein H, Thomas DA (2021) A mathematical model for mineable pushback designs. In: International Journal of Mining, Reclamation and Environment, p 1–17

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Correspondence to Nelson Morales.

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This research was funded by ANID Basal Grant AFB180004 (AMTC).

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Morales, N., Nancel-Penard, P. & Espejo, N. Development and analysis of a methodology to generate operational open-pit mine ramp designs automatically. Optim Eng 24, 711–741 (2023). https://doi.org/10.1007/s11081-021-09702-3

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  • DOI: https://doi.org/10.1007/s11081-021-09702-3

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