DocumentCode
1660043
Title
Notice of Retraction
Research on real time enterprise-oriented Event-Driven Process Chains
Author
Yue, Jiang ; Hong, Zheng ; Li-Fen, Xie
Author_Institution
Training Center JiangXi Electric Power Company Nanchang, China
fYear
2011
Firstpage
1
Lastpage
3
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
This article proposes a Event-Driven Probabilitic Process Chains(EPPC) by adding a parameter which can represent execute-time distribution of function to Event-Driven Process Chains(EPC). We define the syntax of EPPC, and discuss the relationship of EPPC and Continous-Time Markov Chains(CTMC). Then this paper analyzes the method of process measurment. At the same time, we discuss the possibility of appling EPPC to real-time enterprise modelling.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
This article proposes a Event-Driven Probabilitic Process Chains(EPPC) by adding a parameter which can represent execute-time distribution of function to Event-Driven Process Chains(EPC). We define the syntax of EPPC, and discuss the relationship of EPPC and Continous-Time Markov Chains(CTMC). Then this paper analyzes the method of process measurment. At the same time, we discuss the possibility of appling EPPC to real-time enterprise modelling.
Keywords
Companies; Information science; Markov processes; Power systems; Real time systems; Training; Event-Driven Probabilitic Process Chains; Event-Driven Process Chains; Fuzzy Event-Driven Process Chains; Process measurment; Real Time Enterprise;
fLanguage
English
Publisher
ieee
Conference_Titel
E -Business and E -Government (ICEE), 2011 International Conference on
Conference_Location
Shanghai, China
Print_ISBN
978-1-4244-8691-5
Type
conf
DOI
10.1109/ICEBEG.2011.5882650
Filename
5882650
Link To Document