Abstract
In the paper we address the problem of determining the optimal time to renew a system when it experiences so called soft failures because of aging. It is assumed that crash failures, which reduce the service rate to 0 immediately, do not occur. However, the service rate of the examined system gradually decreases with time and settles to a very low value. Since the performance in this state is very low, it is necessary to “renew” the system to its peak performance level. We analyze this model for two different queueing policies under Poisson arrivals and decreasing service rate.
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© 1997 Springer Science+Business Media Dordrecht
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Pfening, A., Telek, M. (1997). Optimal Renewal Policy for Slowly Degrading Systems. In: Bomze, I.M., Csendes, T., Horst, R., Pardalos, P.M. (eds) Developments in Global Optimization. Nonconvex Optimization and Its Applications, vol 18. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-2600-8_15
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DOI: https://doi.org/10.1007/978-1-4757-2600-8_15
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4419-4768-0
Online ISBN: 978-1-4757-2600-8
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