Research Article
Interruption Risk Assessment and Transmission of Fresh Cold Chain Network Based on a Fuzzy Bayesian Network
Table 1
Node causality of fresh cold chain network interruption risk.
| | Target node | Intermediate node | Subnodes | Root node |
| | The fresh cold chain network interruption risk | External risk source (A) | Social risk (A1), | Social conflict (A11) | | Environmental pollution (A12) | | Unexpected accidents (A13) | | Political risk (A2) | Changes in policies and regulations (A21) | | Trade wars (A22) | | Natural risk (A3) | Natural disasters (A31) | | Epidemics (A32) | | Market risk (A4) | Rumors (A41) | | Price (A42) | | Demand fluctuations (A43) | | Internal risk source (B) | Management risk (B1) | Low level of information management (B11) | | Staff irresponsibility (B12) | | Insufficient staff reserves (B13) | | Inventory management risk (B14) | | Product quality and safety (B15) | | Financial risk (B2) | Investment and financing risk (B21) | | Inventory realization risk (B22) | | Account receivable realization risk (B23) | | Solvency (B24) | | Technical risk (B3) | Unqualified storage technology (B31) | | Low production technology (B32) | | Network collaboration risk source (C) | Information risk (C1) | Mismatched information (C11) | | Hidden information storage or transmission dangers (C12) | | Logistics risk (C2) | Unqualified transportation (C21) | | Excessive product retention time (C22) | | Credit risk (C3) | Immorality (C31) | | Malicious default on finances (C32) |
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