AHP-Based Determination of Warning Grade in a Warranty Claims

AHP-기반으로 보증클레임의 위험등급 결정

  • Na, Choon-Soo (Dept of Digital Management and Information Graduate School, Nambu University) ;
  • Jung, Byeong-Soo (Dept of Digital Management and Information Graduate School, Nambu University)
  • 나춘수 (남부대학교 디지털경영정보학과) ;
  • 정병수 (남부대학교 디지털경영정보학과)
  • Received : 2010.11.08
  • Accepted : 2010.12.17
  • Published : 2010.12.31


Two perspectives on developing better decision capabilities for a warranty system can be identified: one involving the inclusion of a 'learning' module and the other the inclusion of a 'prioritization' capability. This paper demonstrates how a warning process can be included in a warranty system by coupling with a neural network's learning capabilities. In addition to the neural network, a method is employed for assigning priorities to warning criteria by using the analytic hierarchy process (AHP). Thus, it is possible to construct an integrated system with three components: the warranty system, the AHP module, and the neural network system. A case study is provided to enhance the accuracy of warning/detection judgment in a warranty system for automobile companies, having many factors related to the warranty system.


Warranty claims;Neural network;AHP;Quality information report


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