A stochastic programming approach for floods emergency logistics

•A stochastic optimization model for floods events with unsatisfied demand is designed.•Stochastic demand for emergency supplies is incorporated and must be satisfied to a level of service.•Flood events are simulated through a stochastic process with spatio-temporal correlations.•Objective combines...

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Veröffentlicht in:	Transportation research. Part E, Logistics and transportation review Jg. 75; S. 18 - 31
Hauptverfasser:	Garrido, Rodrigo A., Lamas, Patricio, Pino, Francisco J.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Exeter Elsevier India Pvt Ltd 01.03.2015 Elsevier Sequoia S.A
Schlagworte:	Chance constrained programming Decision making Decision making models Demand Emergency logistics Emergency vehicles Floods Inventory management Logistics Mathematical models Mathematical programming Sample average approximation Stochastic models Stochastic programming Stockpiling Studies Transportation Transportation problem (Operations research) Emergency logistics Chance constrained programming Stochastic programming Sample average approximation
ISSN:	1366-5545, 1878-5794
Online-Zugang:	Volltext
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