Abstract
A stationary server system with observable degradation is considered. An optimization problem for choice of a time to begin a prophylactic repair of the system is being investigated. A mathematical problem is to choose a Markov time on a random process which is optimal with respect to some criterion. A necessary condition for the time to be optimal is such that it determines a unique solution for monotone random processes. For non-monotone processes this necessary condition determines a set of Markov times containing a time of the first fulfilment of the condition (trivial solution), if this set is not empty. The question arises: Is the trivial solution optimal? We show that it depends on parameters of the process and mainly on difference between the hazard rate and the rate of useful output of the system. For Markov processes the following alternative is true: either the trivial time is optimal or there exist no optimal times.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Bagdonavicius, V., Nikulin, M.S.: Statistical analysis of degradation data in dynamic environment. In: Dipartimento di matematica “Guido Castelnuovo”, 1–20 (2000)
Harlamov, B.P.: Continuous Semi-Markov Processes. ISTE & Wiley, London (2007)
Harlamov, B.P.: Optimal prophylaxis policy for systems with partly observable parameters. In: Ionescu, V., Limnios, N. (ed) Statistical and Probabilistic Models in Reliability. Birkhauser, Boston. 265–278 (1999)
Lehmann, A.: Degradation-threshold-shock models. In: Nikulin, M.S., Commenges, D., Huber, C. (ed) Probability, Statistics and Modelling in Public Health. Springer, Berlin Heidelberg New York. 286–298 (2006)
Rasova, S.S., Harlamov, B.P.: Optimal local first exit time. Zapiski seminarov POMI, 361, 83–108 (2008) (in Russian)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Birkhaüser Boston, a part of Springer Science+Business Media, LLC
About this chapter
Cite this chapter
Rasova, S., Harlamov, B. (2010). Optimal Prophylaxis Policy Under Non-monotone Degradation. In: Nikulin, M., Limnios, N., Balakrishnan, N., Kahle, W., Huber-Carol, C. (eds) Advances in Degradation Modeling. Statistics for Industry and Technology. Birkhäuser Boston. https://doi.org/10.1007/978-0-8176-4924-1_12
Download citation
DOI: https://doi.org/10.1007/978-0-8176-4924-1_12
Published:
Publisher Name: Birkhäuser Boston
Print ISBN: 978-0-8176-4923-4
Online ISBN: 978-0-8176-4924-1
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)