Title :
Discrete event simulation modeling of resource planning and service order execution for service businesses
Author :
Lee, Young M. ; An, Lianjun ; Bagchi, Sugato ; Connors, Daniel ; Kapoor, Shubir ; Katircioglu, Kaan ; Wang, Wei ; Xu, Jing
Author_Institution :
IBM T. J. Watson Res. Center, Yorktown Heights
Abstract :
In this paper, we present a framework for developing discrete-event simulation models for resource-intensive service businesses. The models simulate interactions of activities of demand planning of service engagements, supply planning of human resources, attrition of resources, termination of resources and execution of service orders to estimate business performance of resource-intensive service businesses. The models estimate serviceability, costs, revenue, profit and quality of service businesses. The models are also used in evaluating effectiveness of various resource management analytics and policies. The framework is aided by an information meta-model, which componentizes modeling objects of service businesses and allows effective integration of the components.
Keywords :
business data processing; discrete event simulation; human resource management; discrete event simulation modeling software; human resource supply planning; information meta-model; resource planning; resource-intensive service business performance estimation; service engagement demand planning; service order execution; Analytical models; Availability; Capacity planning; Discrete event simulation; Humans; Manufacturing; Performance analysis; Predictive models; Resource management; Supply chains;
Conference_Titel :
Simulation Conference, 2007 Winter
Conference_Location :
Washington, DC
Print_ISBN :
978-1-4244-1306-5
Electronic_ISBN :
978-1-4244-1306-5
DOI :
10.1109/WSC.2007.4419858