• DocumentCode
    2348489
  • Title

    Decision-Making Models on Fixed-Quantity Recovery Considering the Repair Time

  • Author

    Yuan, Kaifu

  • Author_Institution
    Guizhou Key Lab. of Econ. Syst. Simulation, Guizhou Coll. of Finance & Econ., Guiyang, China
  • fYear
    2011
  • fDate
    15-19 April 2011
  • Firstpage
    1250
  • Lastpage
    1254
  • Abstract
    To determine the optimal ordering and recovering policy, a system which includes ordering and recovering operations is investigated. The demand of customers and the repair time is constant, and return products from customers are recovered when they are accumulated to a certainty quantity. Decision-making models are formulated to minimize the expected average cost, the sufficient conditions which make the expected average cost minimum are given, the solution procedure is developed to determine the optimal ordering and recovering policy by the elimination theory and the numeric computational method, and the models are validated by a numerical example. Compared with related literatures, the expected average cost is lower. The effect of repair time indicates that it is helpful to lower the expected average cost when the time to transform return products into serviceable products is delayed.
  • Keywords
    decision making; maintenance engineering; decision-making model; elimination theory; fixed-quantity recovery; numeric computational method; optimal ordering; recovering policy; repair time; sufficient condition; Biological system modeling; Computational modeling; Convex functions; Decision making; Economics; Maintenance engineering; Reverse logistics; fixed-quantity recovey; inventory; ordering; repair time; serviceable products;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Sciences and Optimization (CSO), 2011 Fourth International Joint Conference on
  • Conference_Location
    Yunnan
  • Print_ISBN
    978-1-4244-9712-6
  • Electronic_ISBN
    978-0-7695-4335-2
  • Type

    conf

  • DOI
    10.1109/CSO.2011.114
  • Filename
    5957879