Simulation of Call Center Performance

The article is devoted to evaluating call center performance by developing a simulation program. The call center is presented as a queuing system with waiting and rejection. A two-level predictive call routing algorithm has been introduced into the program. The functions of the expert level are performed by a separate group of specialists. The presence of interactive voice menu is also taken into account. The recursive method of searching for a free network resource is used. The data processing is simulated on the example of a network model of distributed call service centers. The result is the receipt of the estimated probabilistic-temporal parameters for performance evaluation according to the statistical data of the monitoring system. The user interface of the program and the initial data input window on the network model are presented. Both the network structure and the number of switching nodes in the network model can be changed at the request of the program users. The program allows to build and display various plots of time dependence on the monitor screen. As an example, the article provides a series of dependency graphs for determining the probability of service denial according to the current algorithm.

Authors

Institutions

Publication Details

Published
2024-09-27
DOI
https://doi.org/10.1109/uralcon62137.2024.10718894
Primary Topic
Advanced Queuing Theory Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Simulation of Call Center Performance

O. Sherstneva, Alina Sherstneva
Advanced Queuing Theory Analysis
article

Simulation of Call Center Performance

O. Sherstneva, Alina Sherstneva
article en

Abstract

The article is devoted to evaluating call center performance by developing a simulation program. The call center is presented as a queuing system with waiting and rejection. A two-level predictive call routing algorithm has been introduced into the program. The functions of the expert level are performed by a separate group of specialists. The presence of interactive voice menu is also taken into account. The recursive method of searching for a free network resource is used. The data processing is simulated on the example of a network model of distributed call service centers. The result is the receipt of the estimated probabilistic-temporal parameters for performance evaluation according to the statistical data of the monitoring system. The user interface of the program and the initial data input window on the network model are presented. Both the network structure and the number of switching nodes in the network model can be changed at the request of the program users. The program allows to build and display various plots of time dependence on the monitor screen. As an example, the article provides a series of dependency graphs for determining the probability of service denial according to the current algorithm.

Saint-Petersburg State University of Telecommunications (RU), Siberian State University of Telecommunications and Information Science (RU)
Openalex Percentile: Top 72%
Advanced Queuing Theory Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Simulation of Call Center Performance — O. Sherstneva, Alina Sherstneva · (2024) | TGRS Research Map | TGRS