Steady state analysis of a non-Markovian bulk queueing system with overloading and multiple vacations
M. Balasubramanian,
R. Arumuganathan and
A. Senthil Vadivu
International Journal of Operational Research, 2010, vol. 9, issue 1, 82-103
Abstract:
This paper analyses a non-Markovian bulk queueing model with the possibility of overloading and multiple vacations. It is considered that, on the completion of a service, if the queue length ξ is less than 'a', then the server leaves for a secondary job (vacation) of random length. On returning from this job, again if the queue length is still less than 'a', then the server repeats the secondary job until he finally finds, at least 'a' customers. After a service or a vacation completion epoch, if the server finds at least 'a' customers waiting for service, say ξ (a≤ξ<N), then he serves a batch of min (ξ, b) customers where b≥a. On the other hand, if he finds more than N customers (ξ≥N), then he increases the service capacity (overload) and serves a batch of N customers with a different service rate. For the proposed model, the probability generating function of number of customers in the queue at an arbitrary time epoch and various measures are obtained. Numerical illustrations are also presented for managerial decision to optimise the cost.
Keywords: bulk queues; busy period; multiple vacations; N-policy; steady state solution; overloading; queueing models. (search for similar items in EconPapers)
Date: 2010
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.inderscience.com/link.php?id=34362 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ids:ijores:v:9:y:2010:i:1:p:82-103
Access Statistics for this article
More articles in International Journal of Operational Research from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().