Robust Hub Location
Robust Hub Location is a hub location modeling approach that, as a member of the class of optimization models in location theory, incorporates uncertainty in input parameters and seeks solutions that remain feasible and near-optimal under a range of plausible scenarios, thereby distinguishing itself from deterministic hub location models by explicitly addressing data and demand variability.
21
Publications
1K
Citations
57
Authors
33
Institutions
Publications per year
2017–2026
13
Parents
21
Distributionally Robust Hub Location
Shuming Wang, Zhi Chen, Tianqi Liu · Transportation Science · 2020 · 81 citations
1–5 of 21
57
2
h-index
1
h-index
1
h-index
1
h-index
1
h-index
1–5 of 57
33

Hebei University
Baoding, China
3 h-index
7 publications
112 citations

Iran University of Science and Technology
Tehran, Iran
2 h-index
7 publications
200 citations

Bilkent University
Ankara, Türkiye
2 h-index
4 publications
254 citations

University of Tehran
Tehran, Iran
2 h-index
5 publications
517 citations

TOBB University of Economics and Technology
Ankara, Türkiye
1 h-index
1 publications
188 citations

Tarbiat Modares University
Tehran, Iran
1 h-index
1 publications
96 citations

Coventry University
Coventry, United Kingdom
1 h-index
1 publications
34 citations
Beijing Jiaotong University
Beijing, China
1 h-index
4 publications
124 citations
1–8 of 33
4 publications · 411 citations
4
h-index
3 publications · 113 citations
3
h-index
2 publications · 76 citations
2
h-index
1 publications · 81 citations
1
h-index
1 publications · 29 citations
1
h-index
1–5