
George TsinarakisTechnical University of Crete | TUC · School of Production Engineering and Management
George Tsinarakis
PhD Production Engineering and Management
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28
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Publications (28)
STEM education is of great importance and although idely adopted in the last decades it still lacks affordable tools with extended capabilities. In this work we introduce an enhanced and significantly modified version of the system proposed by Kakkaras et al. in [1]. The new systems presents a low cost solution, where custom hardware is enclosed in...
Metal Forming is a basic and essential industrial process to provide materials for constructing complex products. To design an efficient metal forming process, the functional requirements and operational performance are two important aspects to be considered. In this paper, a semantic Model-based Systems Engineering (sMBSE) approach is proposed to...
This study investigates the integration of soft sensors and deep learning in the oil-refinery industry to improve monitoring efficiency and predictive accuracy in complex industrial processes, particularly de-ethanization and debutanization. Soft sensor models were developed to estimate critical variables such as the C2 and C5 contents in liquefied...
This paper presents a bibliometric analysis of the research literature on potential applications of digital twins in autonomous vehicles, aiming to identify its main features, the current research trends and their evolution and potential gaps for future studies. The set of publications under study is collected through the most popular scientific da...
This paper describes the design and implementation procedure of a Robot Operating System (ROS) testbed for research on the concept of Internet of Vehicles and the integration of Digital Twins in autonomous vehicles. The proposed testbed integrates communication devices, sensors, and micro-controllers to collect real-time data from the physical envi...
Data was collected using standard communication equipment and invoices provided by an established civil construction and renewable energy development and operation company. Data referring to the construction, costings, operation and environmental impacts of a photovoltaic farm were recorded into four distinct Excel files namely: i) Project Manageme...
A process modelling and simulation theoretical framework of general use for the study of continuous process industrial systems is introduced. The proposed process modelling methodology is based on Material Flow Networks and is implemented on a Process Simulation Modelling Tool developed for this purpose. The tool introduced can also serve the requi...
In the current research a holistic tool towards STEM education is introduced. The proposed method is implemented using an enhanced version of a previously introduced educational framework [5], namely HYDRA 2.0. The proposed system offers a set of hardware and software tools which allow the creation of working artefacts. An application using augment...
A generic well-defined methodology for the construction and operation of dynamic process models of discrete industrial systems following a number of well-defined steps is introduced. The sequence of steps for the application of the method as well as the necessary inputs, conditions, constraints and the results obtained are defined. The proposed met...
STEM education is of paramount importance, especially in the lower levels of education, and it has been proven beneficial for students in many ways. Although there are various tools available, there are significant drawbacks mainly related to the cost and the ease of use. In this study, we introduce a new low-cost educational framework oriented tow...
Renewable energy technologies like photovoltaics may be considered an indispensable component of a low-carbon electricity mix, but social acceptance should not be taken for granted. For instance, in Greece there are still claims, especially in rural areas, regarding the land use and the competition against more traditional economic activities such...
In the current work the development procedure (design, manufacture and assembly) of an electric vehicle is considered. The outgrowth is a methodology to support the initial time plan set for the production of a prototype vehicle, so as to be completed in a specific time frame. The uncertainties make difficult to follow the initial time plan, so con...
Alternative ways of modeling the four possible types of task dependencies in Project Management are introduced. The approach presented makes possible modeling and simulation of the execution procedure of complicated projects that can be analyzed in interconnected tasks, using Petri Nets and their extensions. The proposed method allows the calculati...
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...
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...
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 kin...
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 t...
A new approach in reliability evaluation of small isolated hybrid power systems, which include wind turbines and conventional generators, based on fluid stochastic Petri net (PN) modelling is presented. A major novelty of the proposed methodology is that a selection of constant time intervals is adopted, instead of assuming continuous dynamics.. Th...
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...
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 machin...
Timed Petri nets are used to model operational and routing flexibility in production systems. A generalized multi-productive machine module is defined, adapted to system features, repeated and connected to compose the TPN models of production systems with different levels of routing and operation flexibility. The models obtained are used to study s...
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...
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...
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 c...
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 m...