Journal of the Korean Data and Information Science Society

The Korean Data and Information Science Society (한국데이터정보과학회)
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Various types of analysis of warranty returns data

품질보증 반환 데이터의 여러 가지 분석방법

  • Baik, Jaiwook (Department of Information Statistics, Korea National Open University) ;
  • Jo, Jinnam (Department of Statistics & Information, Dongduk Women's University)
  • 백재욱 (한국방송통신대학교 정보통계학과) ;
  • 조진남 (동덕여자대학교 정보통계학과)
  • Received : 2014.10.27
  • Accepted : 2014.12.02
  • Published : 2015.01.31
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Abstract

A certain number of products are transported to be sold each month and some of them are returned for repair. In this study we first assume that the transported products are the ones that have been sold, Then nonparametric approach is applied to the warranty returns data to see how the reliability decreases over time. Parametric approach such as Weibull distribution is applied to the same data and the results for both nonparametric and parametric approaches are compared. Next we assume that there is a time lag between shipment and sale. Then both nonparametric and parametric approaches are applied to the time-lag data and the results are compared.

기업에서는 매달 제품이 일정 수량만큼 수송되어 판매되고, 이들 중 일부는 반환 또는 클레임이 제기된다. 이전의 연구에서는 품질보증 반환 데이터의 반환율을 그래프상에 어떻게 타점할 것인지 먼저 살펴보았고, 이어서 이런 데이터를 좌측 및 우측 중도중단 데이터의 결합으로 생각하여 와이블 분포등을 적합시켜 신뢰성분석을 실시해보았다. 본 연구에서는 우선 수송된 제품이 곧 판매된 것으로 보고, 이들 제품의 품질보증 반환 데이터에 대해 비모수적인 방법을 적용하여 시간에 따른 신뢰도의 추이를 살펴보고 모수적 방법에 의한 결과와 비교해본다. 한편, 제품이 생산되어 판매지로 수송된 경우 소비자의 손에 들어가기까지에는 시차가 있기 마련인데, 이와 같이 수송된 제품이 시차를 두고 판매되는 경우 이런 제품의 품질보증 반환 데이터에 대해서는 어떻게 분석을 실시해야 하는지 살펴본다.

Keywords

References

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