A mathematical model for open pit mine production scheduling with Grade Engineering® and stockpiling
This paper presents the development and implementation of an innovative mixed integer programming based mathematical model for an open pit mining operation with Grade Engineering framework. Grade Engineering comprises a range of coarse-separation based pre-processing techniques that separate the des...
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| Published in | International journal of mining science and technology Vol. 31; no. 4; pp. 717 - 728 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier B.V
01.07.2021
Elsevier |
| Subjects | |
| Online Access | Get full text |
| ISSN | 2095-2686 |
| DOI | 10.1016/j.ijmst.2021.03.011 |
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| Abstract | This paper presents the development and implementation of an innovative mixed integer programming based mathematical model for an open pit mining operation with Grade Engineering framework. Grade Engineering comprises a range of coarse-separation based pre-processing techniques that separate the desirable (i.e. high-grade) and undesirable (i.e. low-grade or uneconomic) materials and ensure the delivery of only selected quantity of high quality (or high-grade) material to energy, water, and cost-intensive processing plant. The model maximizes the net present value under a range of operational and processing constraints. Given that the proposed model is computationally complex, the authors employ a data pre-processing procedure and then evaluate the performance of the model at several practical instances using computation time, optimality gap, and the net present value as valid measures. In addition, a comparison of the proposed and traditional (without Grade Engineering) models reflects that the proposed model outperforms the traditional formulation. |
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| AbstractList | This paper presents the development and implementation of an innovative mixed integer programming based mathematical model for an open pit mining operation with Grade Engineering framework. Grade Engineering comprises a range of coarse-separation based pre-processing techniques that separate the desirable (i.e. high-grade) and undesirable (i.e. low-grade or uneconomic) materials and ensure the delivery of only selected quantity of high quality (or high-grade) material to energy, water, and cost-intensive processing plant. The model maximizes the net present value under a range of operational and processing constraints. Given that the proposed model is computationally complex, the authors employ a data pre-processing procedure and then evaluate the performance of the model at several practical instances using computation time, optimality gap, and the net present value as valid measures. In addition, a comparison of the proposed and traditional (without Grade Engineering) models reflects that the proposed model outperforms the traditional formulation. |
| Author | Mardaneh, Elham Asad, Mohammad Waqar Ali Cigla, Mehmet Fathollahzadeh, Karo |
| Author_xml | – sequence: 1 givenname: Karo surname: Fathollahzadeh fullname: Fathollahzadeh, Karo organization: Western Australian School of Mines: Minerals, Energy and Chemical Engineering, Curtin University, Kalgoorlie 6430, Australia – sequence: 2 givenname: Elham surname: Mardaneh fullname: Mardaneh, Elham organization: School of Electrical Engineering, Computing and Mathematical Sciences, Curtin University, Perth 6845, Australia – sequence: 3 givenname: Mehmet surname: Cigla fullname: Cigla, Mehmet organization: Western Australian School of Mines: Minerals, Energy and Chemical Engineering, Curtin University, Kalgoorlie 6430, Australia – sequence: 4 givenname: Mohammad Waqar Ali surname: Asad fullname: Asad, Mohammad Waqar Ali email: waqar.asad@curtin.edu.au organization: Western Australian School of Mines: Minerals, Energy and Chemical Engineering, Curtin University, Kalgoorlie 6430, Australia |
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| Cites_doi | 10.19150/me.8645 10.1016/j.ijmst.2016.09.015 10.1016/j.cor.2009.12.008 10.1016/j.ejor.2016.07.004 10.1016/j.asoc.2015.11.038 10.1007/s11004-017-9676-z 10.1016/j.energy.2015.12.063 10.1080/25726668.2019.1626169 10.1016/j.ejor.2015.05.002 10.1016/j.cor.2018.11.009 10.1016/j.cor.2007.12.006 10.1016/j.cor.2019.02.001 10.1016/j.ejor.2015.10.044 10.1287/inte.2013.0731 10.1134/S1062739149040096 10.1016/j.ejor.2016.12.014 10.1016/j.cor.2018.11.010 10.1016/j.resourpol.2020.101634 10.1080/17480930.2011.600827 10.1016/j.ijmst.2014.10.004 10.1016/j.ijmst.2014.05.006 10.1287/inte.1090.0492 10.1016/j.mineng.2015.12.013 10.1007/s11004-017-9680-3 10.1023/A:1024835022186 10.1007/978-3-642-25707-0_3 10.1007/s11081-012-9186-2 10.1080/0305215X.2016.1210312 10.1016/j.ijmst.2018.06.011 10.1080/17480930601118947 10.1080/0305215X.2018.1476501 10.1134/S1062739147030117 |
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| Keywords | Exact methods Grade Engineering Scheduling Mine planning Stockpiling Optimization |
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| Title | A mathematical model for open pit mine production scheduling with Grade Engineering® and stockpiling |
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