DocumentCode :
130996
Title :
Supernetwork and entropy theory in quantitative decision-making of emergency logistics
Author :
Liyuan Shang ; Qingmei Tan
Author_Institution :
Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
fYear :
2014
fDate :
27-29 June 2014
Firstpage :
897
Lastpage :
903
Abstract :
Supernetwork theory is a newly tool which is used to study complex network. The quantitative decision-making of emergency logistics can be analyzed by the supernetwork definition which is defined by hypergraph. In order to adjust decisions and improve the overall efficiency, emergency logistics capability should be evaluated according to different stages in emergency logistics activities. Emergency logistics supernetwork model is built based on supernetwork theory, which is composed of three sub-networks, consisting of the organization, information and infrastructure. Four evaluation indicators relating to the emergency logistics supernetwork capability are analyzed, which include time effectiveness, quality, operation and supernetwork structure. Entropy evaluation model of emergency logistics supernetwork capability is built based on entropy theory and the definition of order degree. The methods are discussed for calculating the time effectiveness, quality, operation, supernetwork structure and total order degree. The practicability of the model is proved by the result of the numerical example given.
Keywords :
complex networks; decision making; entropy; graph theory; logistics; network theory (graphs); complex network; emergency logistics quantitative decision-making; entropy theory; hypergraph; order degree definition; supernetwork theory; Complex networks; Decision making; Entropy; Logistics; Measurement uncertainty; Organizations; Uncertainty; emergency logistics; entropy theory; evaluation; supernetwork;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Engineering and Service Science (ICSESS), 2014 5th IEEE International Conference on
Conference_Location :
Beijing
ISSN :
2327-0586
Print_ISBN :
978-1-4799-3278-8
Type :
conf
DOI :
10.1109/ICSESS.2014.6933710
Filename :
6933710
Link To Document :
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