Supply Chain Risk Identification Based on State Space

Xiao Hui Zhao; Pei Pei Li; Xuan Duan; Xiao Yao Li

doi:10.4028/www.scientific.net/AMR.915-916.1495

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 915-916Supply Chain Risk Identification Based on State...

Supply Chain Risk Identification Based on State Space

Abstract:

Supply chain risk produces and develops with the operation of supply chain. Its characteristics are dynamic and conductivity. In recent years, supply chain risk events occur frequently and cause serious consequences. It makes industry and academia pay much attention on conductive effect of supply chain risk. State space method is introduced in estimating of supply chain risk in this paper. The model of supply chain risk based on state space is given. Then we discuss the prediction error of the system.

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Periodical:

Advanced Materials Research (Volumes 915-916)

Pages:

1495-1499

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.915-916.1495

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Online since:

April 2014

Authors:

Xiao Hui Zhao, Pei Pei Li, Xuan Duan, Xiao Yao Li

Keywords:

Covariance Matrix, Prediction Error, State, State Space, Supply Chain Risk

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