Modeling and analysis of a mail processing plant using Petri nets
Advances in Engineering Software
Stability analysis of an adaptive fuzzy control system using Petri Nets and learning automata
Mathematics and Computers in Simulation - Special issue from the IMACS/IFAC international symposium on soft computing methods and applications: “SOFTCOM '99” (held in Athens, Greece)
Mechanical systems and assemblies modeling using knowledge-intensive Petri nets formalisms
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Fuzzy Petri nets with neural networks to model products quality from a CNC-milling machining centre
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
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The integration of design and planning of flexible assembly system (FAS) has been recognized as a tool for achieving an efficient model in a production environment that demands assembly with a high degree of flexibility. For this design and planning a concurrent intelligent approach and framework must be the propose for design of robotic flexible assembly system. The principle of the proposed approach is based on the knowledge of Petri net formalism by incorporating Petri net with artificial intelligent or fuzzy net. The complex assembly systems are modeled and analyzing by adopting a formal representation for dynamic behaviors of the system through knowledge on using the Petri net modeling for the analyzing of simulations. A template is first define for a knowledge Petri net model, and then the models for assembly system individual are established in the form of instance of the template. The design of assembly system is implemented through a knowledge based Petri net -function-behavior-analysis and evaluation, as well as the layout optimization of the flexible assembly system in an integrated intelligent environment. The integration of assembly design and planning process can help to reduce the processing time of assembly system.