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
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;
Conference_Titel :
Conference Anthology, IEEE
Conference_Location :
China
DOI :
10.1109/ANTHOLOGY.2013.6785039