Deterministic Harvest Scheduling
Deterministic Harvest Scheduling is a harvest scheduling approach that belongs to the class of optimization models in forest management, specifically distinguished by its assumption of fixed and known parameters over time, thereby excluding stochastic or probabilistic variations in growth, market conditions, or disturbances.
8
Publications
279
Citations
18
Authors
10
Institutions
Publications per year
2017–2026
0
Parents
8
1–5 of 8
18
The University of Texas Southwestern Medical Center, United States
2 publications · 72 citations
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1
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1
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1
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1–5 of 18
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University of British Columbia
Vancouver, Canada
3 h-index
5 publications
156 citations
Nordwestdeutsche Forstliche Versuchsanstalt
Göttingen, Germany
1 h-index
1 publications
25 citations
Intel (United States)
Santa Clara, United States
1 h-index
1 publications
19 citations

Louisiana Tech University
Ruston, United States
1 h-index
1 publications
12 citations
Western Forest Products
Vancouver, Canada
1 h-index
1 publications
12 citations

Universidad del Desarrollo
Santiago, Chile
1 h-index
2 publications
24 citations

University of Georgia
Athens, United States
1 h-index
1 publications
13 citations
Oregon State University
Corvallis, United States
1 h-index
1 publications
13 citations
1–8 of 10
3 publications · 198 citations
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2 publications · 31 citations
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1 publications · 13 citations
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1 publications · 25 citations
1
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1 publications · 12 citations
1
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