University of Tennessee at Chattanooga
Using simulation to evaluate and improve performance of the contact center at Bluecross Blueshield of Tennessee
Abstract
dc:description.abstractBlueCross BlueShield of Tennessee is a not-for-profit organization in health care financing with more than 4,300 employees and has a service area covering ninety five counties in Tennessee. The company now has three customer service divisions and the regional division is the biggest customer service division of the company.The objectives of this study are to evaluate the performance of the contact center of the regional division and improve its performance through the simulation while still maintaining the standard service level required by the BlueCross BlueShield Association. The simulation model was built by using Pro Model 2002 to represent the operation of the contact center.The two performance measures - the service level and percent agent utilizations-were evaluated through the simulation models.The results from the simulation model showed that the service level of the current contact center operation was 93.74% to 98.50%, which exceeded the required service level-80% of incoming calls answered in 30 seconds - while the average percent utilization of agents was low (48% to 63%).The improvement models were then created by reducing the number of customer service representatives (CSRs). Based on the output of simulation models,the contact center can reduce the number of customer service repr sentatives by 20% while still achieving the required standard service level of the Association.
Degree
thesis:*- Grantor dc:publisher
- University of Tennessee at Chattanooga
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Siriphongvuttikorn, Charat
- Contributors dc:contributor
-
- Alp, Neslihan
- Wigal, Cecelia; Sharp, Scott
- College of Engineering and Computer Science
Subjects
dc:subject × 4Rights
dc:rights- Language dc:language
- English, eng
Identifiers
dc:identifier.*- Identifier
- LB2369.2 .S574 2002
- OAI identifier oai:identifier
- oai:scholar.utc.edu:theses-2121