DocumentCode
820738
Title
A hybrid methodology for synthesis of Petri net models for manufacturing systems
Author
Zhou, MengChu ; DiCesare, Frank ; Desrochers, Alan A.
Author_Institution
Dept. of Electr. & Comput. Eng., New Jersey Inst. of Technol., Newark, NJ, USA
Volume
8
Issue
3
fYear
1992
fDate
6/1/1992 12:00:00 AM
Firstpage
350
Lastpage
361
Abstract
Beginning with a bounded (safe), live, or reversible Petri net as a first-level net model for a system, Petri nets are synthesized by first refining operation places through basic design modules in top-down modular ways, then adding nonshared resource places stepwise, and finally adding shared resource places step by step in a bottom-up manner. Refinement theory is extended to include reversibility of Petri nets. Parallel and sequential mutual exclusions are used to model shared resources. Design of the first-level Petri nets is discussed, and two basic kinds of Petri nets, choice-free and choice-synchronization, are given to cope with different types of manufacturing systems. The major advantages of the method are that the modeling details can be introduced in incremental ways such that complexity can be handled, and the important properties of the resulting Petri net are guaranteed so that costly mathematical analysis for boundedness, liveness, and reversibility can be avoided. A manufacturing system consisting of four machines, one assembly cell, two shared robots, and two buffers is used to illustrate the design methodology
Keywords
Petri nets; production control; Petri net models; boundedness; liveness; manufacturing systems; production control; refinement theory; reversibility; shared resource; top down modular method; Computer aided manufacturing; Control systems; Design methodology; Discrete event systems; Manufacturing systems; Mathematical model; Performance analysis; Petri nets; Refining; Robotic assembly;
fLanguage
English
Journal_Title
Robotics and Automation, IEEE Transactions on
Publisher
ieee
ISSN
1042-296X
Type
jour
DOI
10.1109/70.143353
Filename
143353
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