Queueing Theory Optimization
Queueing Theory Optimization is a mathematical framework within queueing theory that systematically determines optimal configurations of queueing systems by minimizing performance metrics such as waiting time, service cost, or resource utilization under stochastic constraints.
619
Publications
28.8K
Citations
1K
Authors
507
Institutions
Publications per year
2017–2026
94
Parents
619
S. Athuraliya, Steven H. Low, V.H. Li et al. · IEEE Network · 2001 · 1K citations
Optimal Incentive-Compatible Priority Pricing for the M/M/1 Queue
Haim Mendelson, Seungjin Whang · Operations Research · 1990 · 571 citations
Business, Economics, Microeconomics +16
Optimality of the shortest line discipline
Wayne L. Winston · Journal of Applied Probability · 1977 · 505 citations
1–5 of 619
1K
National Taichung University of Science and Technology, Taiwan
13 publications · 301 citations
12
h-index
10
h-index
9
h-index
University of North Carolina at Chapel Hill, United States
9 publications · 1.3K citations
9
h-index
9
h-index
1–5 of 1K
507
University of California, Berkeley
Berkeley, United States
19 h-index
25 publications
1.1K citations
Columbia University
New York, United States
19 h-index
29 publications
1.8K citations
Stanford University
Stanford, United States
15 h-index
18 publications
1.6K citations
University of Michigan
Ann Arbor, United States
15 h-index
26 publications
940 citations
Georgia Institute of Technology
Atlanta, United States
14 h-index
35 publications
1.2K citations

Tel Aviv University
Tel Aviv, Israel
13 h-index
17 publications
972 citations

National Taichung University of Science and Technology
Taichung, Taiwan
13 h-index
24 publications
543 citations

Cornell University
Ithaca, United States
12 h-index
19 publications
871 citations
1–8 of 507
58 publications · 5.1K citations
35
h-index
40 publications · 2.8K citations
31
h-index
26 publications · 1.5K citations
19
h-index
JAP · 23 publications · 1.6K citations
17
h-index
19 publications · 853 citations
16
h-index
1–5