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Modeling an agro-alimentary production system using Petri nets and fuzzy logic | IEEE Conference Publication | IEEE Xplore

Modeling an agro-alimentary production system using Petri nets and fuzzy logic


Abstract:

This paper describes the modeling of a manufacturing process using Petri nets [Silva et al., 1998, Peterson, 1982]. Thanks to this approach, we could structure and separa...Show More

Abstract:

This paper describes the modeling of a manufacturing process using Petri nets [Silva et al., 1998, Peterson, 1982]. Thanks to this approach, we could structure and separate the order model from the data model, and hence assure the modeling's adaptability and portability. Due to the data types and uncertainty of some, we apply the theory of fuzzy subsets developed by Zadeh in 1970 [Zadeh, 1975] to model the system's "uncertainty" parameters. In addition, we present a brief summary of the basic concepts of fuzzy linear programming used in the decidability of our problem, allowing us to model one of the links in the production system, which the manufacturing process represents.
Date of Conference: 10-13 October 2004
Date Added to IEEE Xplore: 07 March 2005
Print ISBN:0-7803-8566-7
Print ISSN: 1062-922X
Conference Location: The Hague, Netherlands

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