DocumentCode :
2284614
Title :
Notice of Retraction
Research on the Emergency Resource Allocation and Scheduling Model Under Unconventional Social Emergency
Author :
Peng Yongjun ; Zou Zili ; Guo Xi ; Yang Min ; Chen Jinming
Author_Institution :
Commun. Command Acad. of PLA, Wuhan, China
Volume :
1
fYear :
2010
fDate :
6-7 March 2010
Firstpage :
559
Lastpage :
562
Abstract :
Notice of Retraction

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE\´s Publication Principles.

We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

With the continuous economic and social development, unconventional social emergencies constantly occur in China. However, there is a lack of in-depth scientific understanding for emergency resource allocation and scheduling under such unexpected situations. In this article, firstly, a grey-prediction-based emergency resource allocation model is proposed according to the reality and problems of current research on emergency resource allocation and scheduling under unconventional social emergency. This model can be used to optimize the year\´s total amounts of emergency resource requirements. Next, with the design of a multi-objective-based single emergency location resource scheduling model, unexpected events are further subdivided into a number of stages and a mathematical model of non-uniform multi-constraint multi-stage scheduling is established. The model is analyzed and the problems of "how to make an emergency response the earliest time" and "the least number of rescuing locations" are solved. The theoretical model will be able to guide the emergency resource allocation and scheduling under unconventional emergencies in the future.
Keywords :
emergency services; grey systems; public administration; resource allocation; China; economic development; emergency resource allocation; grey-prediction; mathematical model; nonuniform multiconstraint multistage scheduling; single emergency location resource scheduling model; social development; unconventional social emergency; Cities and towns; Crisis management; Disaster management; Emergency services; Fires; Mathematical model; Medical control systems; Medical services; Processor scheduling; Resource management; emergency resource allocation; emergency resource scheduling; grey prediction model; resource scheduling; unconventional social emergency;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Education Technology and Computer Science (ETCS), 2010 Second International Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6388-6
Type :
conf
DOI :
10.1109/ETCS.2010.98
Filename :
5458986
Link To Document :
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