Emergency Logistics Scheduling Under Uncertain Transportation Time Using Online Optimization Methods

In the immediate aftermath of large-scale disasters, emergency logistics services play important roles in saving lives and reducing losses. Efficient relief logistics scheduling depends on the accurate transport time information for available routes. However, this information cannot be obtained prec...

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Veröffentlicht in:	IEEE access Jg. 9; S. 36995 - 37010
Hauptverfasser:	Zhang, Yutong, Liu, Jing
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Data processing Decision making Emergency service Emergency vehicles Evolutionary algorithms humanitarian logistics Logistics multiphase scheduling Optimization Pareto optimization Resource scheduling robustness Route planning Routing Scheduling Stochastic processes Transportation uncertain environment Uncertainty Vehicle dynamics Vehicle routing
ISSN:	2169-3536, 2169-3536
Online-Zugang:	Volltext
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