George J. Tsinarakis

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Hybrid timed Petri nets (HTPNs) are derived to study random topology and complexity multioperational production systems where parts of one type follow the same route to produce a final product. Each production system is first decomposed into a fundamental multiproductive machine, multiassembly and multidisassembly modules, followed by derivation of their(More)
This work presents a modular hybrid timed Petri net (MHTPN) methodology used to study multi-operational production systems in which parts are used for the production of different product types. This research generalizes work presented in Tsinarakis, GJ et al., (2003) that studied production systems where all parts of the same type were used for the(More)
Ordinary t-timed modular Petri Nets are used for modeling, analysis, synthesis and performance evaluation of random topology dedicated production systems. Each system is first decomposed into production line, assembly, disassembly and parallel machine modules followed by derivation of their modular Petri Net models. Two sets of modules, generic and(More)
− − − − Ordinary t-timed Petri Nets are used for modeling, analysis and synthesis of random topology production systems and networks. Each production system is first decomposed into production line (transfer chain), assembly, disassembly and parallel machines modules and then their corresponding modular Petri Net models are derived. The overall system PN(More)
—This paper introduces a new general methodology for the modeling and reliability evaluation of small isolated power systems, which include wind turbines, photovoltaics, and diesel generators, based on fluid stochastic Petri nets (FSPNs). The proposed methodology presents two major novelties in FSPN mod-eling, namely: 1) the introduction of a new kind of(More)
— Modular hybrid timed Petri Nets are used to model and analyze behavior of random topology multi-operational production systems. Each such system is decomposed into 3 fundamental modules, followed by derivation of their corresponding modular HPN models. The overall system model is obtained via synthesis of the individual modules, satisfying system(More)
A modular Petri net based methodology for the modeling, analysis and performance evaluation of production systems has been introduced in our previous works. According to this methodology, production systems are decomposed in a small number of fundamental subsystems and the models of the individual subsystems are connected to synthesize the overall system(More)
This paper generalizes the use of the hybrid timed Petri net method introduced in [Tsinarakis, G. J. and Valavanis, K. P., 2004] to study multi-operational production systems in which incoming or in-process parts are used for different products production. In particular, the proposed multi-assembly machine module is generalized to describe a machine(More)
This work extends the Hybrid Petri Net (HPN) methodology introduced in [1] to study multi-operational production systems, by adding two level supervisory control. In the controller implemented, the first control level refers to the internal function of the models of the fundamental subsystems while the second one describes the interaction between them while(More)