Simulation-based Capacity Sizing
Simulation-Based Capacity Sizing is a methodological approach within capacity sizing that employs dynamic simulation models to determine optimal system capacity by evaluating performance under varying demand scenarios, distinguishing itself from deterministic or analytical methods through its reliance on stochastic, scenario-based modeling to capture complex system behaviors and uncertainties.
15
Publications
580
Citations
41
Authors
25
Institutions
Publications per year
2017–2026
2
Parents
15
1–5 of 15
41
2
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25

University of Concepción
Concepción, Chile
2 h-index
2 publications
123 citations

University of Bío-Bío
Concepción, Chile
2 h-index
4 publications
246 citations

Hanyang University
Seoul, South Korea
1 h-index
3 publications
42 citations

University of Genoa
Genoa, Italy
1 h-index
3 publications
36 citations
Orange (France)
Paris, France
1 h-index
1 publications
10 citations
University of Maryland, College Park
College Park, United States
1 h-index
2 publications
64 citations
Indigenous Wellbeing Centre
Bundaberg, Australia
1 h-index
1 publications
64 citations

Northern Illinois University
DeKalb, United States
1 h-index
2 publications
30 citations
1–8 of 25
2 publications · 154 citations
2
h-index
1 publications · 24 citations
1
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TRR · 1 publications · 32 citations
1
h-index
1 publications · 37 citations
1
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Conference · 1 publications · 36 citations
1
h-index
1–5