EconPapers    
Economics at your fingertips  
 

Analysis of a model of batch arrival single server queue with random vacation policy

Choudhury Gautam, Kalita Priyanka and Selvamuthu Dharmaraja

Communications in Statistics - Theory and Methods, 2021, vol. 50, issue 22, 5314-5357

Abstract: This article deals with batch arrival single server queue with random vacation policy, in which the server takes the maximum number of random vacations till it finds some customers waiting in a queue at a vacation completion epoch. If no arrival occurs after completing maximum number of random vacations, the server stays dormant in the system and waits for the upcoming arrival. Here, it is assumed that the customer’s arrival in batches conforms to compound Poisson process, although service time and vacation time are generally distributed. Explicit expressions are obtained for steady state queue size distribution at service completion point and steady state system size probabilities. Some significant measures such as a mean number of batches served during the busy period, Laplace-Stieltjes transform of waiting time, unfinished work and its corresponding mean values are also obtained. A cost optimal policy is developed in terms of the average cost function to determine a locally optimal random vacation policy at a lower cost. Finally, various numerical results are presented for the above system performance measures.

Date: 2021
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/03610926.2020.1728329 (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:taf:lstaxx:v:50:y:2021:i:22:p:5314-5357

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/lsta20

DOI: 10.1080/03610926.2020.1728329

Access Statistics for this article

Communications in Statistics - Theory and Methods is currently edited by Debbie Iscoe

More articles in Communications in Statistics - Theory and Methods from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

 
Page updated 2025-03-20
Handle: RePEc:taf:lstaxx:v:50:y:2021:i:22:p:5314-5357