Early start and late start algorithms to improve the solution time for long-term underground mine production scheduling
Mixed integer programming (MIP) has been used for optimizing production schedules of mines since the 1960s. The major problem in. the long-term production scheduling for an entire orebody is that the number of integer variables needed to formulate an MIP model is too large to solve the formulation....
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South African Institute of Mining and Metallurgy
2008
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ftunivqespace:oai:espace.library.uq.edu.au:UQ:135276 2023-05-15T17:04:10+02:00 Early start and late start algorithms to improve the solution time for long-term underground mine production scheduling Topal, E. 2008-02-01 https://espace.library.uq.edu.au/view/UQ:135276 eng eng South African Institute of Mining and Metallurgy issn:0038-223X 290701 Mining Engineering C1 640000 - Mineral Resources (Excl. Energy) Journal Article 2008 ftunivqespace 2020-10-26T23:59:51Z Mixed integer programming (MIP) has been used for optimizing production schedules of mines since the 1960s. The major problem in. the long-term production scheduling for an entire orebody is that the number of integer variables needed to formulate an MIP model is too large to solve the formulation. This number may reach well over one hundred thousand. To overcome this difficulty, this paper presents two new algorithms to reduce the size of the problem. These algorithms assign an earliest and latest possible start date for each machine placement, eliminating the integer variables that correspond to machine placement before its early start date and after its late start date. A case study based on Kiruna Mine, the second largest underground mine in the world, is summarized in the paper. it shows substantial improvement in the solution time required using the new algorithms. This increased efficiency in the solution time of the MIP model allows it to be applied to Kiruna Mine, with the potential to increase substantially the net present value (NPV) of the project. Article in Journal/Newspaper Kiruna The University of Queensland: UQ eSpace Kiruna |
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The University of Queensland: UQ eSpace |
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English |
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290701 Mining Engineering C1 640000 - Mineral Resources (Excl. Energy) |
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290701 Mining Engineering C1 640000 - Mineral Resources (Excl. Energy) Topal, E. Early start and late start algorithms to improve the solution time for long-term underground mine production scheduling |
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290701 Mining Engineering C1 640000 - Mineral Resources (Excl. Energy) |
description |
Mixed integer programming (MIP) has been used for optimizing production schedules of mines since the 1960s. The major problem in. the long-term production scheduling for an entire orebody is that the number of integer variables needed to formulate an MIP model is too large to solve the formulation. This number may reach well over one hundred thousand. To overcome this difficulty, this paper presents two new algorithms to reduce the size of the problem. These algorithms assign an earliest and latest possible start date for each machine placement, eliminating the integer variables that correspond to machine placement before its early start date and after its late start date. A case study based on Kiruna Mine, the second largest underground mine in the world, is summarized in the paper. it shows substantial improvement in the solution time required using the new algorithms. This increased efficiency in the solution time of the MIP model allows it to be applied to Kiruna Mine, with the potential to increase substantially the net present value (NPV) of the project. |
format |
Article in Journal/Newspaper |
author |
Topal, E. |
author_facet |
Topal, E. |
author_sort |
Topal, E. |
title |
Early start and late start algorithms to improve the solution time for long-term underground mine production scheduling |
title_short |
Early start and late start algorithms to improve the solution time for long-term underground mine production scheduling |
title_full |
Early start and late start algorithms to improve the solution time for long-term underground mine production scheduling |
title_fullStr |
Early start and late start algorithms to improve the solution time for long-term underground mine production scheduling |
title_full_unstemmed |
Early start and late start algorithms to improve the solution time for long-term underground mine production scheduling |
title_sort |
early start and late start algorithms to improve the solution time for long-term underground mine production scheduling |
publisher |
South African Institute of Mining and Metallurgy |
publishDate |
2008 |
url |
https://espace.library.uq.edu.au/view/UQ:135276 |
geographic |
Kiruna |
geographic_facet |
Kiruna |
genre |
Kiruna |
genre_facet |
Kiruna |
op_relation |
issn:0038-223X |
_version_ |
1766058206498390016 |