DocumentCode :
1753038
Title :
Analysis and Application of Process Modeling Method for Flexible Manufacturing System Based on GSPN
Author :
Gao, Shiyi ; Zhao, Mingyang ; Zou, Yuanyuan
Author_Institution :
Shenyang Inst. of Autom.,, Chinese Acad. of Sci.,, Shenyang
Volume :
1
fYear :
0
fDate :
0-0 0
Firstpage :
4668
Lastpage :
4672
Abstract :
Based the use of generalized stochastic Petri nets (GSPN) a process model has been built up on the flexible manufacturing system (FMS). The modeling method has been analysed in this paper. Stochastic variables and the exponential distribution have been used to describe the uncertainty properties of the activities, behaviors and states. Also the state space of the research graph has been compressed based on Markov theory to get the steady probability. This model can be used to analyse the utility of the resource, the probability of a fault, the waiting time of a state and the throughout of the modeling in the FSM. This model also provides evidences to evaluate and optimize FMS. In the end, a laser blank welding system has been analysed and realized based on this model
Keywords :
Markov processes; Petri nets; flexible manufacturing systems; graph theory; laser beam welding; probability; process capability analysis; state-space methods; Markov theory; exponential distribution; flexible manufacturing system; generalized stochastic Petri nets; laser blank welding system; process modeling; research graph; state space; steady probability; uncertainty property; Electronic mail; Exponential distribution; Flexible manufacturing systems; Manufacturing automation; Petri nets; State-space methods; Stochastic processes; Stochastic systems; TV; Uncertainty; Flexible manufacturing system; Petri net; Process model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
Type :
conf
DOI :
10.1109/WCICA.2006.1713267
Filename :
1713267
Link To Document :
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