DocumentCode :
675045
Title :
Grey programming model for emergency systems with multi-resources and constant material consumption
Author :
Huang Xuying ; Peng Fang ; Peng Lingling
Author_Institution :
Sch. of Math. & Phys., China Univ. of Geosci., Wuhan, China
fYear :
2013
fDate :
15-17 Nov. 2013
Firstpage :
459
Lastpage :
462
Abstract :
Natural-Disaster makes a huge threat to the lives and properties of the people. When large-scale disaster happens, in order to open up the rescue as soon as possible, the scheduling of emergency materials becomes especially important. At the beginning, we have obtained the information which contains grey part from the emergencies. In connection with grey theory, a bilevel optimization grey model is established with “the earliest emergency-start-time” and “fewest retrieval deports” as optimal objective, and the continual consumption of emergency resources as constraint. At the same time, an adaptive algorithm is proposed to choose better retrieval deports which have more material resources, thus avoiding excessive retrieval deports involved. Finally, an example is presented which illustrates that the model is rational and the algorithm is effective.
Keywords :
disasters; emergency management; emergency services; grey systems; materials; mathematical programming; scheduling; adaptive algorithm; bi-level optimization grey model; constant material consumption; continual emergency resource consumption; earliest emergency-start-time; emergency material scheduling; emergency systems; fewest retrieval deports; grey programming model; grey theory; large-scale disaster; multiresources; natural disaster; Adaptation models; Earthquakes; Job shop scheduling; Materials; Modeling; Programming; Constant Material Consumption; Emergency Systems; Grey Program; Multi-Objective;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Grey Systems and Intelligent Services, 2013 IEEE International Conference on
Conference_Location :
Macao
ISSN :
2166-9430
Print_ISBN :
978-1-4673-5247-5
Type :
conf
DOI :
10.1109/GSIS.2013.6714827
Filename :
6714827
Link To Document :
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