Approximations for the M/GI/N+GI type call center

  • Authors:
  • Foad Iravani;Barış Balcıogľu

  • Affiliations:
  • UCLA Anderson School of Management, Los Angeles, USA 90095-1481;Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, Canada M5S 3G8

  • Venue:
  • Queueing Systems: Theory and Applications
  • Year:
  • 2008

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Abstract

In this paper, we propose approximations to compute the steady-state performance measures of the M/GI/N+GI queue receiving Poisson arrivals with N identical servers, and general service and abandonment-time distributions. The approximations are based on scaling a single server M/GI/1+GI queue. For problems involving deterministic and exponential abandon times distributions, we suggest a practical way to compute the waiting time distributions and their moments using the Laplace transform of the workload density function. Our first contribution is numerically computing the workload density function in the M/GI/1+GI queue when the abandon times follow general distributions different from the deterministic and exponential distributions. Then we compute the waiting time distributions and their moments. Next, we scale-up the M/GI/1+GI queue giving rise to our approximations to capture the behavior of the multi-server system. We conduct extensive numerical experiments to test the speed and performance of the approximations, which prove the accuracy of their predictions.