Authors:
Chul Geun Park
and
Dong Hwan Han
Affiliation:
Sunmoon University, Korea, Republic of
Keyword(s):
Call center, N-design, Skill-based, Queueing analysis, Performance.
Related
Ontology
Subjects/Areas/Topics:
Agent-Based Information Systems
;
Agents
;
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Communication and Software Infrastructure
;
Distributed and Mobile Software Systems
;
Distributed Intelligent Agents
;
e-Business
;
Enterprise Information Systems
;
Global Communication Information Systems and Services
;
Knowledge Engineering and Ontology Development
;
Knowledge-Based Systems
;
Mobile and Pervasive Computing
;
Multi-Agent Systems
;
Software Engineering
;
Symbolic Systems
;
Telecommunications
Abstract:
Call centers have become the prevalent contact points between many companies and their customers. By virtue of recent advances in information and communication technology, the number and size of call centers has grown dramatically. As a large portion of the operating costs are related to the labor costs, efficient design and workforce staffing are crucial for the economic success of call centers. In this context, the workforce staffing level can be modeled as mathematical optimization problem using queueing theory. In this paper, we deal with an approximate analysis of the so-called N-design call center with two types of customers, two different finite queues and two different exponential patient times. We also represent some numerical examples and show the impact of the system parameters on the performance measures.