• DocumentCode
    1831745
  • Title

    Study on the inventory optimization model of aeronautic spare parts under the condition of uncertain demand

  • Author

    Xingfang, Fu ; Juheng, Fang

  • Author_Institution
    Xuzhou Air Force Coll., Xuzhou, China
  • Volume
    5
  • fYear
    2011
  • fDate
    13-15 May 2011
  • Firstpage
    225
  • Lastpage
    228
  • Abstract
    The accurate prediction of the demand of equipment can produce great economic returns through the proper storage of aeronautic spare parts. This paper, by analyzing the distribution of demand probability of aeronautic spare parts firstly, has established a systematic method model for the storage of aeronautic spare parts and conducted model solution with dynamic programming method, thus there are two points as conclusion. (1) solving the problem of inventory optimization whose aim is system optimization and whose index is expectation OOS number. The merit of this method is that it can get a group of global optimal solutions which is beneficial to analyze the results. (2) Of course the inventory optimization model whose goal index is expectation OOS number focuses on the OOS of equipment and does not consider the constraint problem of different equipment in the support process. So it needs further research in this task.
  • Keywords
    aerospace components; aircraft maintenance; dynamic programming; inventory management; probability; storage; accurate prediction; aeronautic spare parts storage; constraint problem; demand probability; dynamic programming method; economic returns; equipment demand; expectation OOS number; global optimal solutions; goal index; inventory optimization model; support process; system optimization; uncertain demand; Analytical models; Compounds; Dynamic programming; Gaussian distribution; Indexes; Maintenance engineering; Optimization; aeronautic spare parts; expectation OOS number; model; optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Business Management and Electronic Information (BMEI), 2011 International Conference on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    978-1-61284-108-3
  • Type

    conf

  • DOI
    10.1109/ICBMEI.2011.5914464
  • Filename
    5914464