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Development of process execution rules for workload balancing on agents

Cited 23 time in Web of Science Cited 33 time in Scopus
Authors

Ha, Byung-Hyun; Bae, Joonsoo; Park, Yong Tae; Kang, Suk-Ho

Issue Date
2006-01
Publisher
Elsevier
Citation
Data & Knowledge Engineering 56 (2006) 64-84
Keywords
BPMSLoad balancingIndividual worklistsQueueing theoryMathematical programming
Abstract
BPMS (Business Process Management Systems) is a revolutionary information system that supports
designing, administrating, and improving the business processes systematically. BPMS enables the execution
of business processes by assigning tasks to human or computer agents according to the predefined definitions
of the processes. In this paper, we devise process execution rules using individual worklists and
propose task assignment algorithms to maximize the overall process efficiency under the limitation of
the agent s capacity. We first transform the business processes into queueing network models, in which
the agents are considered as servers. With this step complete, workloads of agents are calculated from 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 the reengineering
context. The simulation results and comparisons with other
ISSN
0169-023X
Language
English
URI
https://hdl.handle.net/10371/7635
DOI
https://doi.org/10.1016/j.datak.2005.02.007
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