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
Parents
118
1–5 of 118
241
12
h-index
11
h-index
7
h-index
7
h-index
5
h-index
1–5 of 241
118

McGill University
Montreal, Canada
13 h-index
26 publications
1.4K citations

The University of Queensland
Brisbane, Australia
10 h-index
12 publications
516 citations
Curtin University
Perth, Australia
8 h-index
15 publications
1K citations

Colorado School of Mines
Golden, United States
8 h-index
14 publications
689 citations

UNSW Sydney
Sydney, Australia
7 h-index
16 publications
909 citations
University of Chile
Santiago, Chile
6 h-index
14 publications
494 citations
University of Canberra
Canberra, Australia
5 h-index
13 publications
459 citations
Adolfo Ibáñez University
Santiago, Chile
4 h-index
10 publications
474 citations
1–8 of 118
12 publications · 934 citations
12
h-index
7 publications · 244 citations
7
h-index
6 publications · 411 citations
6
h-index
Repository · 5 publications · 149 citations
5
h-index
4 publications · 145 citations
4
h-index
1–5