On replacement policies for additive systems with several working levels
The purpose of this paper is to analyze systems composed of several parts, at different working levels. At time t, only the performance level of the system, exactly determined in an additive way by the level of the unobservable components, can be observed. We obtain the probability distribution of t...
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| Veröffentlicht in: | Annals of operations research 1999-01, Vol.91, p.63 |
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| creator | Mallor, Fermin Azcarate, Cristina |
| description | The purpose of this paper is to analyze systems composed of several parts, at different working levels. At time t, only the performance level of the system, exactly determined in an additive way by the level of the unobservable components, can be observed. We obtain the probability distribution of the component state vector, given the system performance level observed, under the asumption that each component spends an exponential time in each state. Because of their complexity, these distributions, in practice, cannot be directly evaluated. Therefore, we provide some recurrent methods which allow us to calculate those probabilities in polynomial time. Finally, the question of using these results to obtain an optimal replacement policy is considered. [PUBLICATION ABSTRACT] |
| doi_str_mv | 10.1023/a:1018918311166 |
| format | Article |
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| ispartof | Annals of operations research, 1999-01, Vol.91, p.63 |
| issn | 0254-5330 1572-9338 |
| language | eng |
| recordid | cdi_proquest_journals_214509009 |
| source | Business Source Complete; SpringerLink Journals - AutoHoldings |
| subjects | Markov analysis Operations research Probability Probability distribution Random variables Studies |
| title | On replacement policies for additive systems with several working levels |
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