检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:徐思红[1] 田晶晶 XU Si-hong;TIAN Jing-jing(China National Institute of Standardization)
机构地区:[1]中国标准化研究院
出 处:《标准科学》2023年第6期87-90,共4页Standard Science
基 金: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。
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。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.
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.222