Publications
Detailed Information
Workload Balancing on Agents for Business Process Efficiency Based on Stochastic Model
Cited 0 time in
Web of Science
Cited 0 time in Scopus
- Authors
- Issue Date
- 2004-06
- Publisher
- Springer Verlag
- Citation
- Lecture Notes in Computer Science, Vol. 3080/2004 (2004) 195-210
- Abstract
- BPMS (Business Process Management Systems) is a revolutionary
information system that supports designing, administrating, and improving the
business processes systematically. BPMS enables execution of business processes
by assigning tasks to human or computer agents according to the predefined
definitions of the processes. In this paper, we model business processes
and agents using a queueing network and propose a task assignment algorithm
to maximize overall process efficiency under the limitation of agents capacity.
We first transform the business processes into queueing network models, in
which the agents are considered as servers. With this complete, workloads of
agents are calculated as server utilization and the task assignment policy can be
determined by balancing the workloads. This will serve to minimize the workloads
of all agents, thus achieving overall process efficiency. Another application
of these results can be capacity planning of agents in advance and business
process optimization in reengineering context. The simulation results and comparisons
with other well-known dispatching policies show the effectiveness of
our algorithm.
- ISSN
- 0302-9743 (print)
1611-3349 (online)
- Language
- English
- Files in This Item:
- There are no files associated with this item.
Item View & Download Count
Items in S-Space are protected by copyright, with all rights reserved, unless otherwise indicated.