Title :
Research on the evolutionary stage of knowledge service network in supply chain
Author :
Wang Dao-ping ; Yang Cen
Author_Institution :
Dongling Sch. of Econ. & Manage., Univ. of Sci. & Technol. Beijing, Beijing, China
Abstract :
The purpose of this paper is to explore the evolution process of knowledge service network in supply chain. On the perspective of entropy theory, the knowledge service entropy is first defined based on the concept of information entropy and grey relation, the analysis and model of entropy change of knowledge service network in supply chain is given. And then, based on grey system theory and complex system theory, evolutionary rate and entropy change process of four evolutionary stages are explored with the Logistic equation. At last, a Logistic growth curve is illustrated under two strategies which are delay strategy and sustainable evolution strategy. It is pointed out that the evolutionary process of knowledge service network in supply chain could be controlled through controlling of threshold of state variables.
Keywords :
entropy; evolutionary computation; grey systems; service industries; strategic planning; supply chains; complex system theory; delay strategy; entropy theory; evolutionary stage; grey system theory; information entropy; knowledge service network; logistic equation; supply chain; sustainable evolution strategy; Analytical models; Entropy; Equations; Knowledge engineering; Mathematical model; Supply chains; Logistic equation; entropy; knowledge service network; order parameter; supply chain;
Conference_Titel :
Management Science and Engineering (ICMSE), 2013 International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4799-0473-0
DOI :
10.1109/ICMSE.2013.6586338