Abstract:

Aim to tackle the problems of few quantitative assessments, overly complex and lack of mutual optimization in existing supply chain models, we proposed a quantitative assessment and optimization for supply chain based on N- Tree model. In this algorithm, a consistent N-Tree model is established for different kinds of businesses, meanwhile quantitative risks assessment is applied in corporation interior and inter corporation using complete probabilistic and bayesian analysis, further supply chain structure can be optimized by adaptive suppliers and customers selection. Our proposed method may reduce supply chain risk effectively, realizing the maximuminterests of the enterprise.

Key words: N-tree, supply-chain, quantitative assessment, optimization