George J. Tsinarakis

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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)
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)
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)
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 modeling, namely: 1) the introduction of a new kind of(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 model is(More)
Now with the Dept of CSEE, University of South Florida, Tampa, FL 33620 (kvalavan@csee.usf.edu) Abstract — Modular hybrid timed Petri Nets are used to model and analyze behavior of random topology multioperational production systems. Each such system is decomposed into 3 fundamental modules, followed by derivation of their corresponding modular HPN models.(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)
In this paper a Petri Net (PN) based methodology for modelling, simulation, performance evaluation and production forecast of a tanning industry processing 5 leather types is presented. The Petri net models of the production procedures are built and simulated in order to calculate specific performance measures. Then exponential smoothing method is applied(More)
A resource-oriented modular Petri net modelling methodology is introduced and applied to a tanning Industry. Two general modules are recognized and their models are implemented to represent machine performing multiple types of processes and seasonal drying. Then a well-defined connecting procedure is introduced in order to create the model of the overall(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)