Interruption Risk Assessment and Transmission of Fresh Cold Chain Network Based on a Fuzzy Bayesian Network

The fresh cold chain network is complex, and the interruption risk can significantly impact it. Based on the Bayesian theory, we constructed a fresh cold chain network interruption risk topology structure. The probability of each root node was predicted and calculated based on the fuzzy set theory....

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Bibliographic Details
Published in:Discrete dynamics in nature and society 2021-07, Vol.2021, p.1-11
Main Authors: Chen, Huanwan, Zhang, Qingnian, Luo, Jing, Zhang, Xiuxia, Chen, Guopeng
Format: Article
Language:English
Subjects:
Agricultural production
Bayesian analysis
Cold
Collaboration
Computer programs
Coronaviruses
COVID-19
Decision making
Disease transmission
Electronic commerce
Fuzzy set theory
Fuzzy sets
Information storage
Inventory
Probability
Probability distribution
Random variables
Risk analysis
Risk assessment
Sensitivity analysis
Supply chains
Topology
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Summary:The fresh cold chain network is complex, and the interruption risk can significantly impact it. Based on the Bayesian theory, we constructed a fresh cold chain network interruption risk topology structure. The probability of each root node was predicted and calculated based on the fuzzy set theory. The evaluation model was then validated and improved through the virus transmission model based on risk transmission. Sensitivity analysis was used to determine significant risk factors. Several strategies for minimizing interruption risks were identified.
ISSN:1026-0226
1607-887X
DOI:10.1155/2021/9922569