Failure Risk Identification Model and Simulation of Supply Chain Under O2O E-commerce Model

doi:10.16182/j.issn1004731x.joss.201611015

Abstract

Abstract: With the expansion of Online to Offline (O2O) e-commerce market size, how to effectively prevent the occurrence of supply chain failure risk becomes the key factor to ensure O2O e-commerce market to operate well. The key influencing factors of the supply chain failure risk were analyzed and sorted. Based on causal relationship between various influencing factors, Bayesian network was constructed to analyze crucial factors. The application of triangle fuzzy number was introduced to gather value of conditional probability of Bayesian network. A case study on the failure risk identification model of fresh agricultural product supply chain under O2O model was made by using simulation software.

Key words: supply chain, Bayesian network, failure risk, triangular fuzzy-number, conditional probability

CLC Number:

TP391.9

Zhang Hao, Wang Mingkun. Failure Risk Identification Model and Simulation of Supply Chain Under O2O E-commerce Model[J]. Journal of System Simulation, 2016, 28(11): 2747-2755.

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