Supply chain modeling: past, present and future
Computers and Industrial Engineering - Supply chain management
An Architecture for Cross-Organizational Business Processes
WECWIS '00 Proceedings of the Second International Workshop on Advance Issues of E-Commerce and Web-Based Information Systems (WECWIS 2000)
Dynamic knowledge inference and learning under adaptive fuzzy Petrinet framework
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Learning Petri network and its application to nonlinear systemcontrol
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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Petri nets are powerful and versatile tools for modeling, simulating, analyzing, designing and controlling of many complex systems. This paper addresses a hybrid approach combining competitive neural network and Petri nets in the formal model of intelligent Petri nets. The proposed model not only takes the descriptive advantages of Petri nets, but also has neuron learning and knowledge reduction ability like competitive neural network. It is suitable for dynamic process and information, e.g., the weights are adjustable. For the simulation of the model, it is applied in the conceptual modeling of supply chain for inter-organizational cooperation in manufacturing industry. The intelligent Petri nets model is an innovative method concerning intelligent transition of Petri nets. Meanwhile, the numerical example illustrates that the proposed model can be applied to the real-time supplier selection for intelligent decision-making, and a novel method is provided for modeling in supply chain concerned.