DocumentCode
465706
Title
A Parametric Event-Driven Flowed Token Petri Nets for Generic Agile Systems Modeling and Control
Author
Yu, Yuan-Chen ; Hsieh, Yao-Te
Author_Institution
Nat. Kaohsiung First Univ. of Sci. & Technol., Kaohsiung
Volume
1
fYear
2006
fDate
8-11 Oct. 2006
Firstpage
596
Lastpage
601
Abstract
A generic agile system means both its system configuration and execution jobs are not fixed when the system control was in design. They are allowed to vary according to its modeling rules when the system is in operation. This paper introduces a parametric event-driven flowed token Petri nets (PEFT-PN) for modeling and control of such a generic agile system. The solution should rely on the integration of event-driven process chain (EPC) and the proposed PEFT-PN, but only the PEFT-PN portion will be focused here. In this PEFT-PN, events were separated from the tokens for playing different roles. The tokens are objects flowing in the net with ID and parametric attributes, while the events, also with parametric attributes, are the only control signals for triggering the tokens transferring over the transition. With this PEFT-PN, integrating with EPC, it is possible to use a generic architecture to model and control various systems of different configurations and flexible job sequences without redesigning the architecture.
Keywords
Petri nets; agile manufacturing; control system synthesis; flexible manufacturing systems; event-driven process chain; flexible job sequences; generic agile systems control; parametric event-driven flowed token Petri nets; system control design; Control system analysis; Control system synthesis; Control systems; Cybernetics; Job design; Manufacturing processes; Materials science and technology; Object oriented modeling; Petri nets; Transportation;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man and Cybernetics, 2006. SMC '06. IEEE International Conference on
Conference_Location
Taipei
Print_ISBN
1-4244-0099-6
Electronic_ISBN
1-4244-0100-3
Type
conf
DOI
10.1109/ICSMC.2006.384450
Filename
4273897
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