In the author's concept of risk-averse maintenance, introduced in a previous paper, we seek to minimize the disutility of cost per unit time rather than to minimize cost per unit time itself. This gives a maintenance policy that is optimal under risk aversion. This paper extends the earlier work by providing a solution to the problem of combining risk aversion with the cost discounting that arises from the time value of money. The effect of parameter uncertainty, which was touched on in the earlier work, is here shown to lead to a minimax solution when operation for a long period with model uncertainty is planned. The possible use of non-exponential utility functions is discussed. In an attempt to make risk-averse maintenance more meaningfu...
This paper develops a decision model for risk management of the deterioration of a repairable system...
The Markov Decision Process (MDP) model has been widely studied and used in sequential decision-maki...
In Europe, risk-based maintenance strategies are not used as widely as in the USA. The risk-based ap...
In the author's concept of risk-averse maintenance, introduced in a previous paper, we seek to minim...
Current maintenance policies are time oriented and still based on expected cost or availability opti...
The concept of a risk-averse maintenance policy is introduced, and two approaches to modelling it ar...
AbstractThe paper deals with economic and psychological aspects of the decision making process in th...
We consider the problem of scheduling time-based preventive maintenance under uncertainty in the lif...
Due to an increasingly competitive marketplace and an ongoing shift from labor intensive to technolo...
International audienceIn the literature, the effectiveness of a maintenance strategy is usually asse...
Maintenance is an important activity for asset intensive industries. It enhances life and reduces op...
In production activities, external events (e.g. weather, low market prices) may provide some opportu...
The optimization of predictive maintenance relies mainly on the reduction of costs and risks, which ...
Abstract: Equipment in the process industry is often subject to decay and requires maintenance, repa...
International audienceDevelopments of monitoring techniques provide information on the actual condit...
This paper develops a decision model for risk management of the deterioration of a repairable system...
The Markov Decision Process (MDP) model has been widely studied and used in sequential decision-maki...
In Europe, risk-based maintenance strategies are not used as widely as in the USA. The risk-based ap...
In the author's concept of risk-averse maintenance, introduced in a previous paper, we seek to minim...
Current maintenance policies are time oriented and still based on expected cost or availability opti...
The concept of a risk-averse maintenance policy is introduced, and two approaches to modelling it ar...
AbstractThe paper deals with economic and psychological aspects of the decision making process in th...
We consider the problem of scheduling time-based preventive maintenance under uncertainty in the lif...
Due to an increasingly competitive marketplace and an ongoing shift from labor intensive to technolo...
International audienceIn the literature, the effectiveness of a maintenance strategy is usually asse...
Maintenance is an important activity for asset intensive industries. It enhances life and reduces op...
In production activities, external events (e.g. weather, low market prices) may provide some opportu...
The optimization of predictive maintenance relies mainly on the reduction of costs and risks, which ...
Abstract: Equipment in the process industry is often subject to decay and requires maintenance, repa...
International audienceDevelopments of monitoring techniques provide information on the actual condit...
This paper develops a decision model for risk management of the deterioration of a repairable system...
The Markov Decision Process (MDP) model has been widely studied and used in sequential decision-maki...
In Europe, risk-based maintenance strategies are not used as widely as in the USA. The risk-based ap...