EconPapers    
Economics at your fingertips  
 

A Queueing Model With Servers Disguised as Customers

Janhavi Prabhu and Myron Hlynka

International Journal of Statistics and Probability, 2025, vol. 13, issue 2, 55

Abstract: Queueing theory has been used to model and optimize customer service in numerous real life applications. In this paper, we propose a new model, motivated by the phenomenon of pseudoprogression in cancer, in which the length of a queue appears to increase for a period of time, before reducing at a faster rate. We assume that servers arrive in the queue alongside the customers, that is, ’disguised’ as customers. We derive the general equations for this model using matrix analytic methods, and demonstrate its working with numerical simulations.

Date: 2025
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://ccsenet.org/journal/index.php/ijsp/article/download/0/0/50268/54411 (application/pdf)
https://ccsenet.org/journal/index.php/ijsp/article/view/0/50268 (text/html)

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:ibn:ijspjl:v:13:y:2025:i:2:p:55

Access Statistics for this article

More articles in International Journal of Statistics and Probability from Canadian Center of Science and Education Contact information at EDIRC.
Bibliographic data for series maintained by Canadian Center of Science and Education ().

 
Page updated 2025-03-19
Handle: RePEc:ibn:ijspjl:v:13:y:2025:i:2:p:55