EconPapers    
Economics at your fingertips  
 

Equilibrium threshold joining strategies in partially observable batch service queueing systems

Olga Bountali () and Antonis Economou ()
Additional contact information
Olga Bountali: Southern Methodist University
Antonis Economou: University of Athens

Annals of Operations Research, 2019, vol. 277, issue 2, No 6, 253 pages

Abstract: Abstract We study the strategic customer behavior in queueing systems with batch services under incomplete information. In particular, we assume that arriving customers have the opportunity to observe only the number of waiting batches upon arrival and, afterwards, they make their join/balk decisions. We prove that equilibrium strategies always exist within the legitimate class of threshold strategies, but they may not be unique. We also provide an algorithmic scheme for their computation. Moreover, we compare the strategic behavior under this information level with the corresponding behavior in the complete information case.

Keywords: Queueing theory; Strategic customers; Batch services; Balking; Equilibrium strategies; Partial information; Follow-The-Crowd (FTC) behavior (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

Downloads: (external link)
http://link.springer.com/10.1007/s10479-017-2630-0 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

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:spr:annopr:v:277:y:2019:i:2:d:10.1007_s10479-017-2630-0

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10479

DOI: 10.1007/s10479-017-2630-0

Access Statistics for this article

Annals of Operations Research is currently edited by Endre Boros

More articles in Annals of Operations Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:annopr:v:277:y:2019:i:2:d:10.1007_s10479-017-2630-0