• DocumentCode
    3049279
  • Title

    A study on ARMA model based corporate equipment maintenance expenditure prediction

  • Author

    Lv, Minhui ; Zhao, Hongxia

  • Author_Institution
    Dept. of Equip. Econ. & Manage., Huazhong Univ. of Sci. & Technol., Wuhan, China
  • fYear
    2012
  • fDate
    8-10 July 2012
  • Firstpage
    366
  • Lastpage
    371
  • Abstract
    This paper focuses on macro prediction of corporate equipment maintenance expenditure, adopts ARMA to establish the model for historical data of corporate equipment maintenance expenditure and makes demand analysis and prediction so as to provide a scientific basis for decision makers in equipment maintenance expenditure prediction, and they can control the overall budget for equipment maintenance. Based on analysis and compassion of actual model calculation results, the paper reaches the conclusion that ARMA model enjoys an advantage over traditional predicting models in corporate equipment maintenance prediction.
  • Keywords
    autoregressive moving average processes; maintenance engineering; production equipment; ARMA model; corporate equipment maintenance expenditure prediction; decision makers; demand analysis; historical data; macroprediction; overall budget; Analytical models; Data models; Frequency estimation; Maintenance engineering; Noise; Predictive models; Time frequency analysis; ARMA model; corporate equipment maintenance expenditure; econometric analysis; prediction; random sequence;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Service Operations and Logistics, and Informatics (SOLI), 2012 IEEE International Conference on
  • Conference_Location
    Suzhou
  • Print_ISBN
    978-1-4673-2400-7
  • Type

    conf

  • DOI
    10.1109/SOLI.2012.6273564
  • Filename
    6273564