DocumentCode :
387730
Title :
Analysis of large workflow models
Author :
Zerguini, Loucif
Author_Institution :
Dept. of Math. & Comput. Sci., Eindhoven Univ. of Technol., Netherlands
Volume :
1
fYear :
2002
fDate :
6-9 Oct. 2002
Abstract :
We present a new net-reduction methodology to facilitate the analysis of large workflow models. We propose an enhanced algorithm based on reducible subnet identification which preserve both soundness and response time distribution. Moreover we outline an approach to model the dynamic behavior of business processes by exploiting the power of the class of non-Markovian stochastic Petri net models.
Keywords :
Petri nets; business data processing; workflow management software; business processes; large workflow model analysis; net-reduction methodology; nonMarkovian stochastic Petri net models; reducible subnet identification; response time distribution; soundness; workflow management; Algorithm design and analysis; Analytical models; Business process re-engineering; Delay; Distributed computing; Electronic mail; Information analysis; Mathematics; Petri nets; Stochastic processes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 2002 IEEE International Conference on
ISSN :
1062-922X
Print_ISBN :
0-7803-7437-1
Type :
conf
DOI :
10.1109/ICSMC.2002.1168027
Filename :
1168027
Link To Document :
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