Title | ||
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Modeling the shelter site location problem using chance constraints: A case study for Istanbul. |
Abstract | ||
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•We study the shelter site location problem.•A chance-constrained optimization model for the proposed problem is proposed.•Captured uncertainty by means of probabilistic constraints.•Probabilities embedded in the constraints have a clear influence in the results.•The results obtained are presented and discussed in the paper. |
Year | DOI | Venue |
---|---|---|
2018 | 10.1016/j.ejor.2018.03.006 | European Journal of Operational Research |
Keywords | Field | DocType |
Location,Humanitarian logistics,Shelter site location,Probabilistic programming,Approximations | Integer,Mathematical optimization,Central limit theorem,Programming paradigm,Linear programming,Humanitarian Logistics,Probabilistic logic,Solver,Piecewise linear function,Mathematics | Journal |
Volume | Issue | ISSN |
270 | 1 | 0377-2217 |
Citations | PageRank | References |
3 | 0.42 | 10 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Ömer Burak Kinay | 1 | 3 | 0.42 |
Bahar Y. Kara | 2 | 290 | 18.57 |
Francisco Saldanha-da-Gama | 3 | 185 | 12.84 |
Isabel Correia | 4 | 140 | 9.14 |