DocumentCode :
2409878
Title :
SD approaches for feedback dynamic complexity analysis
Author :
Renan Jia ; Cuixia Wang ; Xiaojing Jia
Author_Institution :
Inst. of Syst. Eng., Nanchang Univ., Nanchang, China
fYear :
2012
fDate :
8-9 Nov. 2012
Firstpage :
677
Lastpage :
682
Abstract :
Feedback dynamic complexity is an important feature of complex systems. Professor Jia and his SD group began their study of the theory and application of SD feedback dynamic complexity analysis method since 1985, and have proposed a series of approaches successively, which have constructed an approach system of SD feedback dynamic complexity analysis of complex systems. Four major functions of SD feedback dynamic complexity analysis were extracted in this paper, which are formulating feedback model for the system problem; constructing feedback model for Successful case; simulation; feedback loops calculation and management policy analysis. Many questions and further study on each of the four functions were respectively proposed. The paper is also a SD research summary of the group for nearly three decades. We believe that there will be many benefits for the system dynamics community in developing the method system of SD feedback dynamic complexity analysis.
Keywords :
computational complexity; feedback; innovation management; SD approach; feedback dynamic complexity analysis; feedback loop calculation; feedback model; innovation; management policy analysis; system dynamic community; system problem; Feedback dynamic complexity analysis; branch-vector determinant arithmetic; the rate variable fundamental in-tree model; vertex weighted causal loop diagram;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Management of Technology (ISMOT), 2012 International Symposium on
Conference_Location :
Hangzhou
Type :
conf
DOI :
10.1109/ISMOT.2012.6679559
Filename :
6679559
Link To Document :
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