Title :
Measuring Entropy in Business Process Models
Author_Institution :
Dept of Ind. Eng., Kyung Hee Univ., Yongin
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;
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
DOI :
10.1109/ICICIC.2008.350