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Article: An inspection-repair-replacement model for a deteriorating system with unobservable state
| Title | An inspection-repair-replacement model for a deteriorating system with unobservable state |
|---|---|
| Authors | |
| Keywords | Minimal repair Increasing failure rate Renewal reward process Feasible IRR policy |
| Issue Date | 2003 |
| Publisher | Applied Probability Trust. The Journal's web site is located at http://www.shef.ac.uk/uni/companies/apt/ap.html |
| Citation | Journal of Applied Probability, 2003, v. 40 n. 4, p. 1031-1042 How to Cite? |
| Abstract | In this paper, an inspection-repair-replacement (IRR) model for a deteriorating system with unobservable state is studied. Assume that the system state can only be diagnosed by inspection and an inspection is imperfect. After inspection, if the system is diagnosed as being in a down state, a minimal repair will be undertaken, otherwise we do nothing. Assume further that the system lifetime is a random variable having increasing failure rate. A feasible IRR policy is studied. An algorithm is then suggested for determining an optimal feasible IRR policy for minimizing the long-run average cost per unit time after a finite-step search. |
| Persistent Identifier | http://hdl.handle.net/10722/223733 |
| ISSN | 2021 Impact Factor: 1.116 2020 SCImago Journal Rankings: 0.668 |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Lam, Y | - |
| dc.date.accessioned | 2016-03-11T07:10:26Z | - |
| dc.date.available | 2016-03-11T07:10:26Z | - |
| dc.date.issued | 2003 | - |
| dc.identifier.citation | Journal of Applied Probability, 2003, v. 40 n. 4, p. 1031-1042 | - |
| dc.identifier.issn | 0021-9002 | - |
| dc.identifier.uri | http://hdl.handle.net/10722/223733 | - |
| dc.description.abstract | In this paper, an inspection-repair-replacement (IRR) model for a deteriorating system with unobservable state is studied. Assume that the system state can only be diagnosed by inspection and an inspection is imperfect. After inspection, if the system is diagnosed as being in a down state, a minimal repair will be undertaken, otherwise we do nothing. Assume further that the system lifetime is a random variable having increasing failure rate. A feasible IRR policy is studied. An algorithm is then suggested for determining an optimal feasible IRR policy for minimizing the long-run average cost per unit time after a finite-step search. | - |
| dc.language | eng | - |
| dc.publisher | Applied Probability Trust. The Journal's web site is located at http://www.shef.ac.uk/uni/companies/apt/ap.html | - |
| dc.relation.ispartof | Journal of Applied Probability | - |
| dc.rights | Journal of Applied Probability. Copyright © Applied Probability Trust. | - |
| dc.subject | Minimal repair | - |
| dc.subject | Increasing failure rate | - |
| dc.subject | Renewal reward process | - |
| dc.subject | Feasible IRR policy | - |
| dc.title | An inspection-repair-replacement model for a deteriorating system with unobservable state | - |
| dc.type | Article | - |
| dc.identifier.email | Lam, Y: lamy@hkucc.hku.hk | - |
| dc.identifier.hkuros | 85572 | - |
| dc.identifier.volume | 40 | - |
| dc.identifier.issue | 4 | - |
| dc.identifier.spage | 1031 | - |
| dc.identifier.epage | 1042 | - |
| dc.publisher.place | United Kingdom | - |
| dc.identifier.issnl | 0021-9002 | - |