A Hybrid Methodology for Synthesis of Petri Net Models for Manufacturing Systems
Document Type
Article
Publication Date
1-1-1992
Abstract
This paper presents a hybrid methodology for systematic synthesis of Petri net models for automated manufacturing systems. Beginning with a bounded (safe), live, or reversible Petri net as a first-level net model for a system, we synthesize Petri nets 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. These properties are necessary to control practical manufacturing systems and important in order to conduct system performance analysis. A manufacturing system consisting of four machines, one assembly cell, two shared robots, and two buffers is used to illustrate the design methodology. © 1992 IEEE
Identifier
0026882077 (Scopus)
Publication Title
IEEE Transactions on Robotics and Automation
External Full Text Location
https://doi.org/10.1109/70.143353
ISSN
1042296X
First Page
350
Last Page
361
Issue
3
Volume
8
Recommended Citation
    Zhou, Meng Chu; DiCesare, Frank; and Desrochers, Alan A., "A Hybrid Methodology for Synthesis of Petri Net Models for Manufacturing Systems" (1992). Faculty Publications.  17468.
    
    
    
        https://digitalcommons.njit.edu/fac_pubs/17468
    
 
				 
					