Queueing-based Staffing Models
Queueing-Based Staffing Models is a quantitative staffing method that belongs to the class of operations research models and specifically incorporates queueing theory principles to determine optimal workforce levels by accounting for stochastic demand patterns, service times, and desired service performance thresholds.
104
Publications
5.2K
Citations
242
Authors
143
Institutions
Publications per year
2017–2026
22
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242
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143
Columbia University
New York, United States
9 h-index
15 publications
2.2K citations
Carnegie Mellon University
Pittsburgh, United States
4 h-index
6 publications
249 citations
Northwestern University
Evanston, United States
4 h-index
4 publications
295 citations
University of Southern California
Los Angeles, United States
4 h-index
4 publications
218 citations
Technion – Israel Institute of Technology
Haifa, Israel
4 h-index
5 publications
499 citations

University of Toronto
Toronto, Canada
4 h-index
5 publications
140 citations
Decision Sciences (United States)
Fort Walton Beach, United States
4 h-index
4 publications
156 citations

University of Coimbra
Coimbra, Portugal
4 h-index
7 publications
1.1K citations
1–8 of 143
13 publications · 885 citations
13
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7 publications · 551 citations
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6 publications · 440 citations
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5 publications · 204 citations
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POMS · 5 publications · 457 citations
5
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1–5