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Maintaining a system subject to uncertain technological evolution

Nguyen, Thi Phuong Khanh and Castanier, Bruno and Yeung, Thomas Maintaining a system subject to uncertain technological evolution. (2014) Reliability Engineering and System Safety, 128. 56-65. ISSN 0951-8320

(Document in English)

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Official URL: http://dx.doi.org/10.1016/j.ress.2014.04.004


Maintenance decisions can be directly affected by the introduction of a new asset on the market, especially when the new asset technology could increase the expected profit. However new technology has a high degree of uncertainty that must be considered such as, e.g., its appearance time on the market, the expected revenue and the purchase cost. In this way, maintenance optimization can be seen as an investment problem where the repair decision is an option for postponing a replacement decision in order to wait for a potential new asset. Technology investment decisions are usually based primarily on strategic parameters such as current probability and expected future benefits while maintenance decisions are based on “functional” parameters such as deterioration levels of the current system and associated maintenance costs. In this paper, we formulate a new combined mathematical optimization framework for taking into account both maintenance and replacement decisions when the new asset is subject to technological improvement. The decision problem is modelled as a non-stationary Markov decision process. Structural properties of the optimal policy and forecast horizon length are then derived in order to guarantee decision optimality and robustness over the infinite horizon. Finally, the performance of our model is highlighted through numerical examples.

Item Type:Article
HAL Id:hal-01061374
Audience (journal):International peer-reviewed journal
Uncontrolled Keywords:
Institution:Other partners > Ecole des Mines de Nantes (FRANCE)
French research institutions > Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux - IFSTTAR (FRANCE)
Laboratory name:
Deposited On:04 Sep 2018 12:18

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