[go: up one dir, main page]
More Web Proxy on the site http://driver.im/ skip to main content
article

Efficiency-Driven Heavy-Traffic Approximations for Many-Server Queues with Abandonments

Published: 01 October 2004 Publication History

Abstract

To provide useful practical insight into the performance of service-oriented (non-revenue-generating) call centers, which often provide low-to-moderate quality of service, this paper investigates the efficiency-driven (ED), many-server heavy-traffic limiting regime for queues with abandonments. Attention is focused on theM/M/s/r + M model, having a Poisson arrival process, exponential service times,s servers,r extra waiting spaces, exponential abandon times (the final + M), and the first-come-first-served service discipline. Both the number of servers and the arrival rate are allowed to increase, while the individual service and abandonment rates are held fixed. The key is how the two limits are related: In the now common quality-and-efficiency-driven (QED) or Halfin-Whitt limiting regime, the probability of initially being delayed approaches a limit strictly between 0 and 1, while the probability of eventually being served (not abandoning) approaches 1. In contrast, in the ED limiting regime, the probability of eventually being served approaches a limit strictly between 0 and 1, while the probability of initially being delayed approaches 1. To obtain the ED regime, it suffices to let the arrival rate and the number of servers increase with the traffic intensity ? held fixed with ? > 1 (so that the arrival rate exceeds the maximum possible service rate). The ED regime can be realistic because with the abandonments, the delays need not be extraordinarily large. When the ED appropriations are appropriate, they are appealing because they are remarkably simple.

Cited By

View all
  • (2024)Capacity Allocation and Scheduling in Two-Stage Service Systems with Multiclass CustomersManufacturing & Service Operations Management10.1287/msom.2023.026626:5(1842-1859)Online publication date: 1-Sep-2024
  • (2023)Patient diversion using real-time delay predictions across healthcare facility networksOR Spectrum10.1007/s00291-022-00704-w45:2(437-476)Online publication date: 3-Jan-2023
  • (2022)A Fluid-Diffusion-Hybrid Limiting Approximation for Priority Systems with Fast and Slow CustomersOperations Research10.1287/opre.2021.215470:4(2579-2596)Online publication date: 1-Jul-2022
  • Show More Cited By

Recommendations

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image Management Science
Management Science  Volume 50, Issue 10
October 2004
153 pages

Publisher

INFORMS

Linthicum, MD, United States

Publication History

Published: 01 October 2004

Author Tags

  1. Call centers
  2. Contact centers
  3. Efficiency-driven limiting regime
  4. Erlang-a model
  5. Heavy-traffic limits
  6. Many-server heavy-traffic limits
  7. Multiserver queues
  8. Multiserver queues with customer abandonment
  9. Queues
  10. Queues with customer abandonment

Qualifiers

  • Article

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)0
  • Downloads (Last 6 weeks)0
Reflects downloads up to 27 Jan 2025

Other Metrics

Citations

Cited By

View all
  • (2024)Capacity Allocation and Scheduling in Two-Stage Service Systems with Multiclass CustomersManufacturing & Service Operations Management10.1287/msom.2023.026626:5(1842-1859)Online publication date: 1-Sep-2024
  • (2023)Patient diversion using real-time delay predictions across healthcare facility networksOR Spectrum10.1007/s00291-022-00704-w45:2(437-476)Online publication date: 3-Jan-2023
  • (2022)A Fluid-Diffusion-Hybrid Limiting Approximation for Priority Systems with Fast and Slow CustomersOperations Research10.1287/opre.2021.215470:4(2579-2596)Online publication date: 1-Jul-2022
  • (2022)Spatial Capacity PlanningOperations Research10.1287/opre.2021.211270:2(1271-1291)Online publication date: 1-Mar-2022
  • (2022)Applications of fluid models in service operations managementQueueing Systems: Theory and Applications10.1007/s11134-022-09868-2103:1-2(161-185)Online publication date: 5-Nov-2022
  • (2021)To Pool or Not to PoolOperations Research10.1287/opre.2019.197669:6(1866-1885)Online publication date: 1-Nov-2021
  • (2021)Should We Wait Before Outsourcing? Analysis of a Revenue-Generating Blended Contact CenterManufacturing & Service Operations Management10.1287/msom.2019.085923:5(1118-1138)Online publication date: 1-Sep-2021
  • (2021)A General Framework to Compare Announcement AccuracyManagement Science10.1287/mnsc.2020.372267:7(4191-4208)Online publication date: 1-Jul-2021
  • (2021)A Computational Approach to First Passage Problems of Reflected Hyperexponential Jump Diffusion ProcessesINFORMS Journal on Computing10.1287/ijoc.2020.098033:1(216-229)Online publication date: 1-Jan-2021
  • (2020)Diffusion Approximation for Efficiency-Driven Queues When Customers Are PatientOperations Research10.1287/opre.2019.191768:4(1265-1284)Online publication date: 22-May-2020
  • Show More Cited By

View Options

View options

Figures

Tables

Media

Share

Share

Share this Publication link

Share on social media