Classification of Product Safety Management Target by RAP and Cluster Analysis for Consumer Safety 


Vol. 33,  No. 6, pp. 128-135, Dec.  2018
10.14346/JKOSOS.2018.33.6.128


PDF
  Abstract

Currently, the government selects products that are likely to cause harm to consumers as safety management targets and classifies them into three types: safety certification, safety confirmation, and supplier conformity verification. In addition, the government conducts safety surveys on products in circulation or accident products, and recalls products that are of great concern to consumer risks. In this paper, we have developed RAP (Risk Assessment method based on Probability), which is a probability based product risk assessment method, for the classification of safety management type of product and safety investigation, and have shown an application example. In this process, information is used for the CISS (Consumer Injury Surveillance System) of the Korean Consumer Agency. In addition, we apply the cluster analysis to classify the current supervised children products into three groups. Then, we confirm the effectiveness of RAP by comparing the result of RAP application, cluster analysis result and current safety management classification type. Also, we recognize the need to review the current safety management classification criteria for classifying products into three types.

  Statistics
Cumulative Counts from November, 2022
Multiple requests among the same browser session are counted as one view. If you mouse over a chart, the values of data points will be shown.


  Cite this article

[IEEE Style]

서정대, "Classification of Product Safety Management Target by RAP and Cluster Analysis for Consumer Safety," Journal of the Korean Society of Safety, vol. 33, no. 6, pp. 128-135, 2018. DOI: 10.14346/JKOSOS.2018.33.6.128.

[ACM Style]

서정대. 2018. Classification of Product Safety Management Target by RAP and Cluster Analysis for Consumer Safety. Journal of the Korean Society of Safety, 33, 6, (2018), 128-135. DOI: 10.14346/JKOSOS.2018.33.6.128.