EconPapers    
Economics at your fingertips  
 

Wait-Time Predictors for Customer Service Systems with Time-Varying Demand and Capacity

Rouba Ibrahim () and Ward Whitt ()
Additional contact information
Rouba Ibrahim: Desautels Faculty of Management, McGill University, Montreal, Quebec H3A 1G5, Canada
Ward Whitt: Department of Industrial Engineering and Operations Research, Columbia University, New York, New York 10027

Operations Research, 2011, vol. 59, issue 5, 1106-1118

Abstract: We develop new, improved real-time delay predictors for many-server service systems with a time-varying arrival rate, a time-varying number of servers, and customer abandonment. We develop four new predictors, two of which exploit an established deterministic fluid approximation for a many-server queueing model with those features. These delay predictors can be used to make delay announcements. We use computer simulation to show that the proposed predictors outperform previous predictors.

Keywords: delay prediction; delay announcements; simulation; time-varying arrival rates; time-varying number of servers; nonstationary queues (search for similar items in EconPapers)
Date: 2011
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (10)

Downloads: (external link)
http://dx.doi.org/10.1287/opre.1110.0974 (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:59:y:2011:i:5:p:1106-1118

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:59:y:2011:i:5:p:1106-1118