SN/T 4838-2017 in English
VALIDTechnical specification of risk alert management on quality safety of import and export commodities
- Issued on:2017-07-21
- Implemented on:2018-03-01
- File Format:PDF
- Delivery:Via email within 1~3 business days
$117.00
Introduction
Interpretation of the Standard's Core Content
This standard establishes a four-level risk warning system (red, orange, yellow, and blue). A red warning requires a response within 24 hours, while a level two orange warning requires a response within 48 hours. The warning levels are determined based on five key factors: product category, hazard severity, and impact scope.
Comparison of Risk Warning Grading
| Warning Level | Response Time Limit | Disposal Cycle | Release Scope |
|---|---|---|---|
| Level 1 (Red) | ≤24 hours | 10 working days | Entire System |
| Level 2 (Orange) | ≤48 hours | 20 working days | Associated Area |
| Level 3 (Yellow) | Continuous Monitoring | - | Observation List |
Technological Evolution Background
This standard innovatively introduces the Bayesian Moving Weighted Model (referenced in SN/T4839), achieving a breakthrough in risk quantification compared to the qualitative assessment used in Order No. 1 of 2001. The early warning platform established in Announcement No. 200 of 2012 provides information technology support for this standard.
Application Case: Cross-border E-commerce Toy Recall
A batch of exported plastic toys triggered an orange alert due to excessive phthalates. The inspection agency completed the following within 36 hours through the early warning platform:
1) Intercepted the same batch of products at ports across the country
2) Pushed rectification requirements to the enterprise
3) Provided risk warnings to consumers
Implementation Recommendations
- Enterprise Response: Establish product safety files and regularly verify the compliance of raw materials
- Agency Implementation: Assign risk information specialists and improve platform data integration
- Dynamic Adjustment: Pay attention to updates to the industry injury case database and adjust assessment parameters in a timely manner
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