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      • Department of Industrial Engineering
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      A maintanence policy for a system with multi-state components: an approximate solution

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      Author(s)
      Gürler, Ü.
      Kaya, A.
      Date
      2002
      Source Title
      Reliability Engineering and System Safety
      Print ISSN
      0951-8320
      Electronic ISSN
      1879-0836
      Publisher
      Elsevier
      Volume
      76
      Issue
      2
      Pages
      117 - 127
      Language
      English
      Type
      Article
      Item Usage Stats
      173
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      295
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      Abstract
      For maintenance and quality assessment purposes, various performance levels for both systems and components are identified, usually as a function of the deterioration. In this study, we consider a multicomponent system where the lifetime of each component is described by several stages, (0,…,S), which are further classified as good, doubtful, preventive maintenance due (PM due) and down. A control policy is suggested where the system is replaced when a component enters a PM due or a down state and the number of components in the doubtful states (K,…,S−2) is at least N. All maintenance activities are assumed to take negligible time. The exact description of the underlying stochastic model under the policy is very complicated. We therefore propose some approximations, which allow an explicit expression for the long run average cost function, which is minimized w.r.t. (K,N) by numerical methods. Sensitivity of the model to system parameters and the performance of the approximation are investigated through several examples.
      Keywords
      Maintenance
      Markov processes
      Multi-state components
      Randomization method
      Approximation theory
      Deterioration
      Markov processes
      Numerical methods
      Public policy
      Sensitivity analysis
      Multi-state components
      Preventive maintenance
      Permalink
      http://hdl.handle.net/11693/24712
      Published Version (Please cite this version)
      http://dx.doi.org/10.1016/S0951-8320(01)00125-9
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      • Department of Industrial Engineering 758
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