• DocumentCode
    1807306
  • Title

    Information acquisition of new technology performance for maintenance/investment decisions

  • Author

    Nguyen, T. P. Khanh ; Castanier, Bruno ; Yeung, Thomas G.

  • Author_Institution
    Industrial Engineering and Automatic Control Department, Ecole des Mines de Nantes, IRCCyN, F-44307 Cedex 3, France
  • fYear
    2013
  • fDate
    1-8 Jan. 2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The possibility of new technology occurrence has an important impact on the maintenance/ replacement decision. Therefore, a challenge in maintenance decision making is to determine maintenance policy and replacement investment plan under an uncertainty of technology improvement. In each period, we must decide whether to gather additional information on the potential improvement of a new technology, and then chose the appropriate action for the asset (Do Nothing, Maintenance or Replacement). To formulate this scenario, we use a non stationary Markov Decision Process (MDP) model and provide some properties of the optimal policy based on a given set of numerical examples.
  • Keywords
    Biological system modeling; Investment; Maintenance engineering; Markov processes; Numerical models; Profitability; Uncertainty; MDP; information acquisition; maintenance/ investment; technology breakthrough;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Conference Anthology, IEEE
  • Conference_Location
    China
  • Type

    conf

  • DOI
    10.1109/ANTHOLOGY.2013.6785039
  • Filename
    6785039