Abstract
|In this paper we consider an M=M=1 queueing system with non-reliable server.
When the server is in normal state, the service error (or failure) occurs according to a Poisson
process. In the error state, the server needs to be repaired at a repair facility with exponen-
tial repair time according to the threshold policy. The repair starts only when the number of
customers in the system reaches some prespeci¯ed threshold level q>=1. We perform a steady-
state analysis of the continuous-time Markov chain describing the system behavior and calculate
optimal threshold level to minimize the long-run average losses given by the cost structure.
| Original language | English |
|---|---|
| Title of host publication | Mathematical methods in reliability, Moscow |
| Number of pages | 8 |
| Publication status | Published - 2009 |
Fields of science
- 101 Mathematics
- 101014 Numerical mathematics
- 101018 Statistics
- 101019 Stochastics
- 101024 Probability theory
Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver