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