Earticle

초록

영어

Basically, there are six types of warranty that can be offered either by manufacturer or dealers of a product or services which are basic warranty, extended warranty, warranty for used, repair limit warranty, service warranty and lifetime warranty. The different types of warranty policy have been established in order to fulfill the demand of manufacturers and the requirement of buyers so that a win-win situation could be acquired. However, when considering these warranty policies, an important concept to keep in mind is warranty reclaims. Warranty reclaims extend the scope of warranty activities beyond the walls of a single company to encompass suppliers, manufacturers, OEMs, distributors, dealers, repair centers, policy carriers, and customers. This paper presents a methodology to adapt historical maintenance warranty reclaims data with Adaptive Neuro Fuzzy Inference System (ANFIS) approach. The main motivations for conducting this paper are simplicity and less computational mass of the ANFIS based on linear generating functions with regard to warranty reclaims prediction.

목차

Abstract
 1. Introduction
 2. Warranty Claims and ANFIS Architecture
 3. ANFIS Design for Warranty Reclaims
 4. Experimental Results
 5. Conclusions
 Acknowledgements
 References

키워드

저자

• Choi Kwang-Wook [ Dept. of Electronics & Computer Engineering, Chonnam National University, Korea ]
• Lee Sang-Hyun [ Dept. of Computer Engineering, Honam University, Korea ] Corresponding author
• Kim Cheol-sung [ Dept. of Electronics & Computer Engineering, Chonnam National University, Korea ]
• Moon Kyung-Il [ Dept. of Computer Engineering, Honam University, Korea ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Software Engineering and Its Applications

• 간기

  월간

• pISSN

  1738-9984

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605