Warning list identification based on reliability knowledge in warranty claims information system

Authors:
SangHyun Lee;ByungSu Jung;KyungIl Moon
Affiliations:
Department of Computer Engineering, Honam University, Korea;Department of Computer and Electric Information, Nambu University, Gwangju, Korea;Department of Computer Engineering, Honam University, Korea
Venue:
ICIC'09 Proceedings of the Intelligent computing 5th international conference on Emerging intelligent computing technology and applications
Year:
2009

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Abstract

The purpose of this paper is to propose process, method and knowledge for identifying warning lists objectively based on reliability knowledge in warranty claims information system. This study was designed with literature (process, method, knowledge) and case study. Firstly, process, method and knowledge for identifying were proposed and then applied to an automobile manufacturing firm. An identifying process was used three kinds of reliability knowledge composed of false alarm knowledge of warranty claims, inventory knowledge of products and variation knowledge due to warranty claims factors. Based on the case study of an automobile manufacturing firm, we found that the identification of warning lists using reliability knowledge results in the improvement in the production process of units. The main idea has been applied to a single practical case, an automobile manufacturing firm. For warning list identification of warranty claims, this paper uses three kinds of knowledge from a warranty claims system, which have not been treated before, including false warning possibility, inventory aspects and variation knowledge among warranty claims factors.