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LKAB's Kiruna Mine, located above the Arctic Circle in northern Sweden, is the second-largest underground mine in the world today. The orebody is a world-class high-grade magnetite deposit, from which three raw ore products are extracted. We use mixed integer programming to determine a producti...
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ftciteseerx:oai:CiteSeerX.psu:10.1.1.1069.8554 2023-05-15T15:00:21+02:00 text E Topal M Kuchta A Newman G3 The Pennsylvania State University CiteSeerX Archives 2003 application/pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1069.8554 http://inside.mines.edu/%7Eanewman/apcom.pdf en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1069.8554 http://inside.mines.edu/%7Eanewman/apcom.pdf Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://inside.mines.edu/%7Eanewman/apcom.pdf text 2003 ftciteseerx 2020-04-26T00:18:16Z LKAB's Kiruna Mine, located above the Arctic Circle in northern Sweden, is the second-largest underground mine in the world today. The orebody is a world-class high-grade magnetite deposit, from which three raw ore products are extracted. We use mixed integer programming to determine a production schedule, i.e., which production blocks to mine, and when to start mining them, so as to minimize deviation from planned production quantities while adhering to the operational constraints of the mine. The resulting model contains thousands of binary variables and a commensurate number of constraints, precluding us from obtaining a schedule in a reasonable amount of time. We describe a method that builds on prior, related work, to expedite solution time. Text Arctic Kiruna Northern Sweden Unknown Arctic Kiruna |
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LKAB's Kiruna Mine, located above the Arctic Circle in northern Sweden, is the second-largest underground mine in the world today. The orebody is a world-class high-grade magnetite deposit, from which three raw ore products are extracted. We use mixed integer programming to determine a production schedule, i.e., which production blocks to mine, and when to start mining them, so as to minimize deviation from planned production quantities while adhering to the operational constraints of the mine. The resulting model contains thousands of binary variables and a commensurate number of constraints, precluding us from obtaining a schedule in a reasonable amount of time. We describe a method that builds on prior, related work, to expedite solution time. |
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The Pennsylvania State University CiteSeerX Archives |
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E Topal M Kuchta A Newman G3 |
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E Topal M Kuchta A Newman G3 |
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2003 |
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http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1069.8554 http://inside.mines.edu/%7Eanewman/apcom.pdf |
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