Mine Scheduling Optimization

Mine Scheduling Optimization is a computational planning methodology that systematically determines the optimal sequence and timing of mining activities within a given resource, distinguishing itself by integrating geological, economic, and operational constraints to maximize project value over time.

118

Publications

4.9K

Citations

241

Authors

118

Institutions

Publications per year

2017–2026

42

Authors

241

  1. RD
    Roussos Dimitrakopoulos

    McGill University, Canada

    12 publications · 819 citations

    12

    h-index

  2. ET
    Erkan Topal

    Curtin University, Australia

    11 publications · 467 citations

    11

    h-index

  3. AM
    Alexandra M. Newman

    Colorado School of Mines, United States

    7 publications · 335 citations

    7

    h-index

  4. MN
    Micah Nehring

    The University of Queensland, Australia

    7 publications · 245 citations

    7

    h-index

  5. RS
    Ruhul Sarker

    UNSW Sydney, Australia

    5 publications · 177 citations

    5

    h-index

1–5 of 241

Venues

  1. European Journal of Operational Research

    12 publications · 934 citations

    12

    h-index

  2. Resources Policy

    7 publications · 244 citations

    7

    h-index

  3. Computers & Operations Research

    6 publications · 411 citations

    6

    h-index

  4. 5

    h-index

  5. INFORMS Journal on Applied Analytics

    4 publications · 145 citations

    4

    h-index

1–5