Optimal inspection policies for a partially observable process with hazardous inspections Public Deposited

http://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/zg64tp76q

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  • An inspection model is considered in which inspections are hazardous to the device being monitored. The model is formulated as a partially observable Markov decision process. Previous research has determined the optimal ongoing inspection policies for a previously inspected device. In this thesis, the optimal inspection initiation policies are investigated for a device which has never been inspected previously. The basic issue is one of the tradeoffs between the benefits of information revealed by inspections versus the risk to the system imposed by the inspection procedures. The conditions under which the benefits outweigh the risk are established and the optimal initiation policies are shown to be periodic regardless of the values of the transition parameters. For both initial and subsequent inspections, efficient computational procedures for calculating the optimal timing of inspections and survival distributions are derived. Also, the coordination of initiation and ongoing policies is discussed.
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  • description.provenance : Approved for entry into archive by Patricia Black(patricia.black@oregonstate.edu) on 2013-08-13T19:37:12Z (GMT) No. of bitstreams: 1 ChouChungKuang1982.pdf: 639616 bytes, checksum: 6a0e7cc9442866dcbcc6e5699d2c7ce9 (MD5)
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