Performance measures for service systems with a random arrival rate

  • Authors:
  • Samuel G. Steckley;Shane G. Henderson;Vijay Mehrotra

  • Affiliations:
  • Cornell University, Ithaca, NY;Cornell University, Ithaca, NY;San Francisco State University, San Francisco, CA

  • Venue:
  • WSC '05 Proceedings of the 37th conference on Winter simulation
  • Year:
  • 2005

Quantified Score

Hi-index 0.00

Visualization

Abstract

It is commonly assumed that the arrival process of customers to a service system is a nonhomogeneous Poisson process. Call center data often refute this assumption, and several authors have postulated a doubly-stochastic Poisson process for arrivals instead. We develop approximations for both the long-run fraction of calls answered quickly, and the distribution of the fraction of calls answered quickly within a short period. We also perform a computational study to evaluate the approximations and improve our understanding of such systems.