EconPapers    
Economics at your fingertips  
 

Pooling Queues with Strategic Servers: The Effects of Customer Ownership

Mor Armony (), Guillaume Roels () and Hummy Song ()
Additional contact information
Mor Armony: Stern School of Business, New York University, New York, New York 10012
Guillaume Roels: INSEAD, 77305 Fontainebleau, France
Hummy Song: The Wharton School, University of Pennsylvania, Philadelphia, Pennsylvania 19104

Operations Research, 2021, vol. 69, issue 1, 13-29

Abstract: Although pooling queues offer in principle many operational benefits, these may not always be achieved in practice. One reason, observed in, prior empirical studies, relates to customer ownership. In this paper, we formalize these empirical observations by developing a game-theoretic model to assess the performance of pooling when servers choose their capacities strategically and exhibit varying scopes of customer ownership, captured by two cost components, respectively, associated with the processing time and the waiting time of a server’s customers. We show that the core benefits of pooling are mostly annihilated in this setting. In fact, for any given scope of customer ownership, the queue configuration has almost no impact on the customers’ average throughput time unless (i) servers’ degree of customer ownership is so low that they choose to operate at high utilization and (ii) they care much more about their customers’ processing times than about their waiting times. Under these conditions, adopting a dedicated queue configuration can yield significantly lower throughput times. This prescription becomes even more pertinent if the switch to a dedicated queue configuration is associated with an expansion in the scope of customer ownership, as may happen in practice.

Keywords: queueing theory; game theory; behavioral operations management; server pooling; customer ownership (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
https://doi.org/10.1287/opre.2020.2004 (application/pdf)

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:inm:oropre:v:69:y:2021:i:1:p:13-29

Access Statistics for this article

More articles in Operations Research from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().

 
Page updated 2025-03-19
Handle: RePEc:inm:oropre:v:69:y:2021:i:1:p:13-29