Journal of Northeastern University ›› 2012, Vol. 33 ›› Issue (5): 735-738.DOI: -

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Progressive thinning algorithm for automatic optimization of short-term scheduling of open-pit mine

Sun, Xiao-Yu (1); Zhang, Wei-Guo (1); Sun, Meng-Hong (2)   

  1. (1) School of Resources and Civil Engineering, Northeastern University, Shenyang 110819, China; (2) Faculty of Mathematics, University of Waterloo, Waterloo N2L 3G1, Canada
  • Received:2013-06-19 Revised:2013-06-19 Published:2013-04-04
  • Contact: Sun, X.-Y.
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Abstract: The current status of open-pit mine technology was analyzed, and the best approach for open-pit mine production schedule that combines computer aided design and mathematical programming was proposed. In order to resolve the existing problem of open pit mine production scheduled using integer programming and 0-1 integer programming in order of time period, a progressive thinning algorithm for optimizing the open-pit mine production schedule was proposed. Also, the progress of progressive thinning algorithm was discussed and the corresponding 0-1 integer programming model was established. The model was solved by calling LindoAPI mathematical software under the Visual C++ programming environment. This 0-1 integer programming method has higher computing speed and meets the requirement for detailed industrial design.

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