Title :
Measuring endogenous supply chain network stability: A dynamic analysis model
Author_Institution :
Sch. of Manage., Fuzhou Univ., Fuzhou, China
Abstract :
This paper develops a state transition analytical model to explore the endogenous dynamic law of supply chain and interaction of its endogenous variables. By developing a differential equation system for this model and applying the physical phase diagram, we attest that endogenous factors as well as the spontaneous dynamic law in a supply chain will determine its evolution trajectory, to which the effect of initiatives and activeness of supply chain members is also not ignorable.
Keywords :
differential equations; supply chain management; differential equation system; dynamic analysis model; endogenous dynamic law; endogenous factors; endogenous supply chain network stability; endogenous variables; evolution trajectory; physical phase diagram; spontaneous dynamic law; state transition analytical model; supply chain member activeness; supply chain member initiatives; Analytical models; Differential equations; Mathematical model; Stability analysis; Supply chains; Trajectory; Differential equations; Oscillation and amplification; Supply chain evolution; System dynamics;
Conference_Titel :
Grey Systems and Intelligent Services, 2013 IEEE International Conference on
Conference_Location :
Macao
Print_ISBN :
978-1-4673-5247-5
DOI :
10.1109/GSIS.2013.6714843
