Measuring Entropy in Business Process Models

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.

[1]  Kevin Barraclough,et al.  I and i , 2001, BMJ : British Medical Journal.

[2]  Sang Joon Kim,et al.  A Mathematical Theory of Communication , 2006 .

[3]  Hajo A. Reijers,et al.  Cohesion and Coupling Metrics for Workflow Process Design , 2004, Business Process Management.

[4]  Semyon M. Meerkov,et al.  Production variability in manufacturing systems: Bernoulli reliability case , 2000, Ann. Oper. Res..

[5]  Volker Gruhn,et al.  Adopting the Cognitive Complexity Measure for Business Process Models , 2006, 2006 5th IEEE International Conference on Cognitive Informatics.

[6]  M. Tribus Thermostatics and thermodynamics , 1961 .

[7]  Wallace J. Hopp,et al.  Factory physics : foundations of manufacturing management , 1996 .