Journal of the Korean Society of Safety (한국안전학회지)

The Korean Society of Safety (한국안전학회)
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Classification of Product Safety Management Target by RAP and Cluster Analysis for Consumer Safety

소비자안전을 위한 RAP 및 군집분석을 통한 제품안전 관리대상 유형분류 연구

  • Suh, Jungdae (School of Business Administration, Gachon University)
  • 서정대 (가천대학교 경영대학 경영학부)
  • Received : 2018.07.04
  • Accepted : 2018.12.13
  • Published : 2018.12.31
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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.

Keywords

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Fig. 1. Hazard information of hazard analysis system - toys case.

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Fig. 2. PI(Probability Impact) matrix.

Table 1. Product factor, accident type, injury type

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Table 2. Accident effect scale by product factor

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Table 3. Probability of accident

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Table 4. Injury occurrence percentage

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Table 5. Probability of injury

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Table 6. Injury treatment period and severity of injury

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Table 7. Risk by injury

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Table 8. Hazard information for 36 child products

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Table 9. ANOVA for 3 factors

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Table 10. Final cluster centers and number of cases in each cluster

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Table 11. ANOVA for 2 factors

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Table 12. ANOVA for 2 factors and 4 clusters

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Table 13. Type classification by safety management target product

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Table 14. Degree of type classification match between current, RAP, and cluster analysis.

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