Developing a robust multi-objective model for pre/post disaster times under uncertainty in demand and resource

Studies show that by the course of time, the number of natural disasters such as earthquakes is increasing. Therefore, developing a model for locating distribution centers and relief goods distribution systems in disaster times, along with appropriately locating health centers with the ease of acces...

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Veröffentlicht in:	Journal of cleaner production Jg. 154; S. 188 - 202
Hauptverfasser:	Haghi, Mahbubeh, Fatemi Ghomi, Seyed Mohammad Taghi, Jolai, Fariborz
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 15.06.2017
Schlagworte:	algorithms disasters earthquakes hospitals Humanitarian relief logistics Non-dominant sorting genetic algorithm Robust stochastic optimization Simulated annealing algorithm uncertainty ε – constraint exact method Simulated annealing algorithm Robust stochastic optimization Humanitarian relief logistics Non-dominant sorting genetic algorithm ε – constraint exact method
ISSN:	0959-6526, 1879-1786
Online-Zugang:	Volltext
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