Strategic joining in an M/M/K queue with asynchronous and synchronous multiple vacations
Jinting Wang,
Yu Zhang and
Zhe George Zhang
Journal of the Operational Research Society, 2021, vol. 72, issue 1, 161-179
Abstract:
We study customers’ equilibrium joining strategies in an M/M/K queue with asynchronous and synchronous multiple vacations. Arriving customers face four different information levels, that is, fully observable, almost observable, almost unobservable and fully unobservable cases, and they decide whether to join or balk the system based on their service utility. In this study, we analyse customers’ equilibrium strategies in terms of the social welfare. It is found that the equilibrium social welfare under an asynchronous vacation policy is higher than that under a synchronous vacation policy when the traffic density is low, the opposite relation exists when the traffic density is high. Furthermore, when the traffic density is high enough, the difference between the two vacation policies in terms of social welfare can be negligible. Finally, if all customers follow the equilibrium strategies, compared to the situation with no information provided for customers, the social planner would prefer to reveal the queue length. Such a finding has the managerial implication for waiting line managers who want to maximise the social welfare of customers.
Date: 2021
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://hdl.handle.net/10.1080/01605682.2019.1644978 (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:tjorxx:v:72:y:2021:i:1:p:161-179
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tjor20
DOI: 10.1080/01605682.2019.1644978
Access Statistics for this article
Journal of the Operational Research Society is currently edited by Tom Archibald
More articles in Journal of the Operational Research Society from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().