• DocumentCode
    3437297
  • Title

    Computational statistics in a warranty forecasting system

  • Author

    Peng Liu ; Peng Wang

  • Author_Institution
    JMP Div., SAS Inst. Inc., Cary, NC, USA
  • fYear
    2013
  • fDate
    15-18 July 2013
  • Firstpage
    576
  • Lastpage
    581
  • Abstract
    This paper presents a warranty forecasting system that forecasts future failure counts, multiple periods ahead, from the production of a non-repairable product, which enters the field as staggered groups of units. Warranty data analysis is a vast research area. Even warranty forecasting may involve many different scenarios. We focus on the most common scenario and study the issues that appear during the implementation in software. The software with warranty forecasting capability will be accessible to the general users. We will present our efforts that are based on and beyond existing approaches.
  • Keywords
    forecasting theory; production engineering computing; statistical analysis; warranties; computational statistics; nonrepairable product; warranty data analysis; warranty forecasting capability; warranty forecasting system; Approximation methods; Forecasting; Nickel; Production; Random variables; Reliability; Warranties; cumulative forecasting; forecasting uncertainty; reliability; sequential forecasting; warranty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE), 2013 International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4799-1014-4
  • Type

    conf

  • DOI
    10.1109/QR2MSE.2013.6625649
  • Filename
    6625649