DocumentCode
2009000
Title
An Intelligent Methodology for Business Process Model Verification
Author
Xinhua, Liu ; Weida, Wang ; Wenjian, Liu
Author_Institution
Harbin Inst. of Technol., Harbin
fYear
2007
fDate
May 30 2007-June 1 2007
Firstpage
2381
Lastpage
2385
Abstract
In order to verify the correctness of business process model, A-Net modeling based on activity was studied and a multilevel verification model based on knowledge rules was established. An extended structure of knowledge rule was proposed and a flowchart was presented for the multi-level verification model. Moreover, a modified genetic algorithm was proposed to resolve the resource scheduling conflicts checked by the verification model. The structure and flowchart of the modified genetic algorithm were designed. Finally, an illustrative example was proposed and the verification model was proved feasibility and efficient.
Keywords
Petri nets; business data processing; data mining; flowcharting; formal verification; genetic algorithms; resource allocation; scheduling; A-Net modeling; Petri net; business process model correctness verification; flowchart design; genetic algorithm; intelligent methodology; knowledge rule; manufacturing enterprise; multilevel verification model; resource scheduling conflict; workflow management system; Algorithm design and analysis; Automatic control; Automation; Business process re-engineering; Flowcharts; Genetic algorithms; Job shop scheduling; Manufacturing processes; Mechatronics; Virtual manufacturing; A-Net; knowledge rules; model verification; modified genetic algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Automation, 2007. ICCA 2007. IEEE International Conference on
Conference_Location
Guangzhou
Print_ISBN
978-1-4244-0817-7
Electronic_ISBN
978-1-4244-0818-4
Type
conf
DOI
10.1109/ICCA.2007.4376788
Filename
4376788
Link To Document