MISG, mines and variability


  • Winston Sweatman Massey University
  • Kevin White University of South Australia




mathematics-in-industry, mine scheduling


In 2016, a Mathematics-in-Industry Study Group (MISG) project considered the construction of mining sequences, that is, the process connecting ore extraction with specific orders. In particular, the meeting considered the potential for using knowledge about geological variability within the ore. This article revisits this MISG project and the approach developed for thinking about the problem as the build for an order progresses. We provide new perspectives on this approach and outline possible ways for further development.


  • L. Caccetta and S. P. Hill. An application of branch and cut to open pit mine scheduling. J. Global Opt. 27 (2003), pp. 349–365. doi: 10.1023/A:1024835022186
  • M. Ibrahimov, A. Mohais, S. Schellenberg, and Z. Michalewicz. Scheduling in iron ore open-pit mining. Int. J. Adv. Man. Tech. 72.5–8 (2014), pp. 1021–1037. doi: 10.1007/s00170-014-5619-8
  • M. Menabde, G. Froyland, P. Stone, and G. A. Yeates. Mining schedule optimisation for conditionally simulated orebodies. Advances in Applied Strategic Mine Planning. Ed. by R. Dimitrakopoulos. Springer International Publishing, 2018, pp. 91–100. doi: 10.1007/978-3-319-69320-0_8
  • W. L. Sweatman, K. White, A. Albrecht, M. Peron, P. Pudney, and D. Whittle. Mining sequencing to control blend quality. Proceedings of the 2016 Mathematics and Statistics in Industry Study Group, MISG-2016. Ed. by P. Pudney and A. J. Roberts. Vol. 58. ANZIAM J. 2018, pp. M33–M66. doi: 10.21914/anziamj.v58i0.12475

Author Biography

Winston Sweatman, Massey University

Associate Professor , Institute of Natural and Mathematical Sciences, Massey University





Proceedings Engineering Mathematics and Applications Conference