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Optimum maintenance policy using semi-Markov decision processes

Electric Power Systems Research, 2006
A method is presented to solve for the optimum maintenance policy of repairable power equipment. The approach uses a continuous-time semi-Markov process (SMP) to first find the optimal maintenance rate for maximum availability of the equipment. Then a semi-Markov decision process (SMDP) is utilized to determine whether maintenance should be performed ...
Curtis L. Tomasevicz, Sohrab Asgarpoor
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Average cost semi-markov decision processes

Journal of Applied Probability, 1970
The semi-Markov decision model is considered under the criterion of long-run average cost. A new criterion, which for any policy considers the limit of the expected cost incurred during the first n transitions divided by the expected length of the first n transitions, is considered.
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Generalized semi-Markov decision processes

Journal of Applied Probability, 1979
Various authors have derived the necessary and sufficient conditions for optimality in semi-Markov decision processes in which the state remains constant between jumps. In this paper similar results are presented for a generalized semi-Markov decision process in which the state varies between jumps according to a Markov process with continuous sample ...
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Semi-Markov Decision Processes with Unbounded Rewards

Management Science, 1973
We consider a semi-Markov decision process with arbitrary action space; the state space is the nonnegative integers. As in queueing systems, we assume that {0, 1, 2, …, n + N} is the set of states accessible from state n in one transition, where N is finite and independent of n.
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Discounted semi-markov decision process in a semi-markov environment

Optimization, 1997
This paper presents the discounted semi-Markov decision process (SMDP) with Borel state space in a semi-Markov environment. It describes a system which behaves like a SMDP except that the system is influenced by its semi-Markov process environment. Following each state transition of the environment, the parameters of the SMDP changes.
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Application of Semi-Markov Decision Process in Bridge Management

IABSE Reports, 2015
<p>The state-of-the-art Bridge Management Systems (BMSs) feature tightly coupled deterioration and preservation optimization model that enable determining the most cost-effective maintenance strategies at both the project and network levels. In other to improve deterioration model, many authors suggest the application of Weibull distribution for ...
Rade Hajdin   +2 more
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Semi-Markov decision processes with variance minimization criterion

4OR, 2014
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Wei, Qingda, Guo, Xianping
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Time-average optimal constrained semi-Markov decision processes

Advances in Applied Probability, 1986
Optimal causal policies maximizing the time-average reward over a semi-Markov decision process (SMDP), subject to a hard constraint on a time-average cost, are considered. Rewards and costs depend on the state and action, and contain running as well as switching components. It is supposed that the state space of the SMDP is finite, and the action space
Beutler, Frederick J., Ross, Keith W.
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Semi-Markov Decision Process With Partial Information for Maintenance Decisions

IEEE Transactions on Reliability, 2014
A critical factor that prevents optimal scheduling of maintenance interventions is the uncertainty regarding the current condition of the asset under consideration, as well as the rate at which deterioration takes place. However, current maintenance modeling and optimization techniques assume that the condition of the asset is either known, or assumed ...
Rengarajan Srinivasan   +1 more
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Mean-Variance Problems for Finite Horizon Semi-Markov Decision Processes

Applied Mathematics & Optimization, 2014
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Huang, Yonghui, Guo, Xianping
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