DOI QR코드

DOI QR Code

다변량 모형을 이용한 보증데이터 분석 방법 연구

A Study on Analysis Method of Warranty Data Using Multivariate Model

  • 김종걸 (성균관대학교 산업공학과) ;
  • 성기우 (성균관대학교 산업공학과)
  • Kim, Jong-Gurl (Dept. of Industrial Engineering, Sungkyunkwan University) ;
  • Sung, Ki-Woo (Dept. of Industrial Engineering, Sungkyunkwan University)
  • 투고 : 2015.04.19
  • 심사 : 2015.06.20
  • 발행 : 2015.06.30

초록

The purpose of the warranty data analysis can be classified into two categories. Two goals is a failure cause analysis and life prediction analysis. In this paper first, we applied multivariate analysis method that can be estimated in consideration of various factors on the failure cause warranty data. In particular, we apply the Tree model and Cox model. The advantage of the Tree is easy to interpret this result as compared to other models. In addition Cox model can quantitatively express the risk. Second, this paper proposed a multivariate life prediction model (AFT) considering a variety of factors. By applying the actual warranty data confirmed the usability.

키워드

참고문헌

  1. Kalbfleisch JD, Lawless JF. (1988), "Estimation of reliability infield-performance studies"Technometrics, 30:365-388.
  2. Hu XJ, Lawless JF. (1996), "Estimation from truncated life time data with supplementary information on covariates and censoring times". Biometrika, 83:747-761 https://doi.org/10.1093/biomet/83.4.747
  3. Hu XJ, Lawless JF.(1997), "Pseudo-likelihood estimation in a class of problems with response-related missing covariates", The Canadian Journal of Statistics, 25:125-142 https://doi.org/10.2307/3315727
  4. Attardi L, Guida M, Pulcini G.(2005), "A mixed-Weibull regression model for the analysis of automotive warranty data". Reliability Engineering and System Safety, 87:265-273. https://doi.org/10.1016/j.ress.2004.05.003
  5. Karim MR, Suzuki K.(2007), "Analysis of warranty data with covariates". Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 221:249-255. https://doi.org/10.1243/1748006XJRR56
  6. Vinta S. (2009), "Analysis of data to predict warranty cost for various regions" Proceedings of Annual Reliability and Maintainability Symposium, 78-82
  7. Hrycej T, Grabert M.(2007),"Warranty cost forecast based on car failure data". IEEE International Conference on Neural Networks- Conference Proceedings, 108-113
  8. Thomas L. and William J. Kolarik(1987), "Proportional Hazards Analysis of Field Warranty Data", Reliability Engineering, 18
  9. Sang Hyun Lee(2007), "A Study on Warning / Detection Degree of Warranty Claims Data Using Neural Network Learning", IEEE International Conference.
  10. Jong-Gurl Kim, Ki-Woo Sung(2014), "Cause Analysis Method of Warranty Claims Data Using Cox and Tree model", the Korea Safety Management & Science