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