CAJ | 학술논문

本文针对全球各国进口消费品的质量安全风险，提出基于EAN/UPC码的进口消费品风险监管建议。本文使用国际通用商品条形码收集信息并建立数据库，通过科学算法建立风险信息识别流程，定量分析进口消费品的风险特征，对风险布控进行数学建模，提出一套自适应学习方法，在实际应用过程中不断完善布控模型，使风险管理形成闭环，通过流程控制完善进口消费品安全。该方法能够实现进口消费品风险的有效管理与控制，提升质量安全保障水平。
본문침대전구각국진구소비품적질량안전풍험，제출기우EAN/UPC마적진구소비품풍험감관건의。본문사용국제통용상품조형마수집신식병건립수거고，통과과학산법건립풍험신식식별류정，정량분석진구소비품적풍험특정，대풍험포공진행수학건모，제출일투자괄응학습방법，재실제응용과정중불단완선포공모형，사풍험관리형성폐배，통과류정공제완선진구소비품안전。해방법능구실현진구소비품풍험적유효관리여공제，제승질량안전보장수평。
In order to improve the inspection and supervision of import consumer goods,the paper designs a new method of risk management for import consumer goods based on EAN and UPC code. This method builds the identification process by using commodity barcode, designs the quantitative analysis of risk features for the mathematical modeling. A new adaptive learning process is proposed for model optimization to form a closed loop of risk management. This method can advance the risk management and control of import consumer goods.