DocumentCode
2635770
Title
Measuring Entropy in Business Process Models
Author
Jung, Jae-Yoon
Author_Institution
Dept of Ind. Eng., Kyung Hee Univ., Yongin
fYear
2008
fDate
18-20 June 2008
Firstpage
246
Lastpage
246
Abstract
Workflow process models contain information of tasks and the structures among them. Modeling business process reduces uncertainty of executing the process at run-time in that the model designates the set of executable tasks and control flows. In this research, we address the measurement of uncertainty or variability of workflow process models, through the concept of entropy. The entropy of business process models is a measure of quantifying the uncertainty of process execution. The uncertainty measurement of process models can be utilized to expect the difficulty of the resource assignment and workflow scheduling.
Keywords
workflow management software; business process models; entropy; resource assignment; workflow process models; workflow scheduling; Dispatching; Entropy; Industrial engineering; Information theory; Job shop scheduling; Manufacturing systems; Measurement uncertainty; Runtime; Scheduling algorithm; Stability;
fLanguage
English
Publisher
ieee
Conference_Titel
Innovative Computing Information and Control, 2008. ICICIC '08. 3rd International Conference on
Conference_Location
Dalian, Liaoning
Print_ISBN
978-0-7695-3161-8
Electronic_ISBN
978-0-7695-3161-8
Type
conf
DOI
10.1109/ICICIC.2008.350
Filename
4603435
Link To Document