• DocumentCode
    3544410
  • Title

    An Overview on Warranty Cost Modelling in Two-Dimensional Warranty Using Neuro-Fuzzy Approach

  • Author

    Jamahir, Nur Izzati Binti ; Majid, Hairudin Bin Abdul ; Samah, Azurah Binti A

  • Author_Institution
    Dept. of Comput. Sci., Univ. Teknol. Malaysia, Skudai, Malaysia
  • fYear
    2012
  • fDate
    8-10 Feb. 2012
  • Firstpage
    137
  • Lastpage
    142
  • Abstract
    In early study of manufacturing, warranty studies were mainly carried out by researchers in the legal profession and, thus, such articles appeared only in the law journals. Subsequently, warranty studies attracted researchers from such field as economics, accounting, management, marketing engineering, operations research and statistics. There are two types of warranty namely one-dimensional warranty, which is based on product usage or product age, and two-dimensional warranty which considers both product age and usage. This paper is mainly concerned about two-dimensional warranty. We applied neuro-fuzzy system approach of AI to optimize warranty cost and period. In this paper, neuro-fuzzy framework apply in warranty cost modelling is proposed.
  • Keywords
    cost accounting; fuzzy neural nets; optimisation; product liability; warranties; accounting; artificial intelligence; economics; law journals; legal profession; marketing engineering; neuro-fuzzy approach; one-dimensional warranty; operations research; product age; product usage; statistics; two-dimensional warranty; warranty cost modelling; Artificial intelligence; Artificial neural networks; Automobiles; Fuzzy logic; Training; Warranties; Artificial Intelligence(AI); Artificial Neural Network (ANN); Fuzzy Logic; Neuro-FuzzySystem; Two-dimensional warranty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems, Modelling and Simulation (ISMS), 2012 Third International Conference on
  • Conference_Location
    Kota Kinabalu
  • Print_ISBN
    978-1-4673-0886-1
  • Type

    conf

  • DOI
    10.1109/ISMS.2012.121
  • Filename
    6169689