Mathematical Programming For Mine Sequencing

Mathematical Programming for Mine Sequencing is a formal optimization framework that employs mathematical models and algorithms to determine the optimal temporal extraction sequence of ore blocks in mining operations under resource, technical, and economic constraints.

45

Publications

1.4K

Citations

97

Authors

61

Institutions

Publications per year

2017–2026

8

Authors

97

  1. ET
    Erkan Topal

    Curtin University, Australia

    4 publications · 126 citations

    4

    h-index

  2. AM
    Alexandra M. Newman

    Colorado School of Mines, United States

    4 publications · 189 citations

    4

    h-index

  3. MN
    Micah Nehring

    The University of Queensland, Australia

    4 publications · 95 citations

    4

    h-index

  4. YP
    Yashar Pourrahimian

    University of Alberta, Canada

    4 publications · 62 citations

    4

    h-index

  5. RD
    Roussos Dimitrakopoulos

    McGill University, Canada

    3 publications · 115 citations

    3

    h-index

1–5 of 97

Venues

  1. INFORMS Journal on Applied Analytics

    4 publications · 196 citations

    4

    h-index

  2. European Journal of Operational Research

    3 publications · 116 citations

    3

    h-index

  3. International Journal of Production Economics

    2 publications · 51 citations

    2

    h-index

  4. International Journal of Production Research

    2 publications · 52 citations

    2

    h-index

  5. 2

    h-index

1–5