消费品缺陷线索分析方法研究与应用

摘要：

缺陷消费品召回是一项保护消费者安全的国际通行做法，也是促进产品质量提升的一种重要方法。准确、及时地获取消费品缺陷线索，然后系统深入分析其存在的潜在风险，才能快速定位消费品缺陷问题并实施召回。消费品具有种类多、故障问题杂的特点，高效、科学的缺陷线索综合分析显得尤为重要。本文研究内容包括线索采集、数据处理、关联分析等，为消费品潜在缺陷挖掘提供技术参考，为缺陷消费品召回管理提供信息决策支撑。

Abstract:

Defective consumer product recall is an internationally accepted practice for protecting consumer safety and an important method for promoting product quality improvement. Accurately and timely obtaining clues about the consumer product defects and systematically and deeply analyzes the potential risks can quickly locate consumer product defects and implement recalls. Consumer products have the characteristics of multiple types and complex fault problems, so efficient and scientific comprehensive analysis of defect clues is particularly important. The research content of this article includes clue collection, data processing, association analysis, etc., providing technical reference for mining potential defects in consumer products and information decision-making support for defective consumer product recall management.

基金项目：本文受中央基本业务费项目“基于多源信息融合的消费品缺陷线索智能分析关键技术研究与应用”（项目编号：282022Y-9461）资助。

作者简介：徐思红，工程师，主要研究方向为缺陷信息、舆情信息、缺陷产品召回信息等综合数据分析。田晶晶，高级工程师，主要研究方向为缺陷产品召回信息管理、数据挖掘应用等。