Two stage \(\mathrm{M}^{[x]}/\mathrm{G}/1\) heterogeneous service, Bernoulli feed back, Bernoulli schedule server vacation random break down, setup time and restricted admissibility (Q2928717)
From MaRDI portal
| This is the item page for this Wikibase entity, intended for internal use and editing purposes. Please use this page instead for the normal view: Two stage \(\mathrm{M}^{[x]}/\mathrm{G}/1\) heterogeneous service, Bernoulli feed back, Bernoulli schedule server vacation random break down, setup time and restricted admissibility |
scientific article; zbMATH DE number 6367638
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Two stage \(\mathrm{M}^{[x]}/\mathrm{G}/1\) heterogeneous service, Bernoulli feed back, Bernoulli schedule server vacation random break down, setup time and restricted admissibility |
scientific article; zbMATH DE number 6367638 |
Statements
10 November 2014
0 references
unreliable single server
0 references
Batch-Poisson arrivals
0 references
two stage services
0 references
Bernoulli feedback
0 references
Bernoulli vacation
0 references
restricted admissibility
0 references
steady state
0 references
transient analysis
0 references
transform methods
0 references
Two stage \(\mathrm{M}^{[x]}/\mathrm{G}/1\) heterogeneous service, Bernoulli feed back, Bernoulli schedule server vacation random break down, setup time and restricted admissibility (English)
0 references
An unreliable single server is investigated with Batch-Poisson arrivals, 2-stage services with general service time, Bernoulli feedback, and Bernoulli vacations after a customer's second stage of service is finished. The server's up-times and the repair times after breakdown are exponential. Admission of batches is regulated by a Bernoulli decision where the admission probability depends on whether the server is at vacation or not. A Markovian state description is constructed and, starting with an empty system, the transient state probabilities are derived in a complicated transform version. Assuming steady state conditions, transform expressions are given for the stationary distribution and some performance metrics are derived.
0 references