A Discrete Process Modelling and Simulation Methodology for Industrial Systems within the Concept of Digital Twins

Tsinarakis, George; Sarantinoudis, Nikolaos; Arampatzis, Georgios

doi:10.3390/app12020870

Cited by 10 publications

(3 citation statements)

References 34 publications

(36 reference statements)

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“…For example, it need not expect all data from the modules, as it can estimate some data either from the historical data or using an estimator, e.g., Kalman Filter [35]. Though some papers use AI and machine learning (e.g., [36], [37]) and Digital Twins (e.g., [38]) to add intelligence to Petri Net models, this paper proposes the Kalman Filter for predicting missing data as it is much simpler.…”

Section: B Intelligent Supervisormentioning

confidence: 99%

Modular distributed models of production systems: a Petri nets based approach

Davidrajuh,

Krenczyk,

Skolud

2023

Bulletin of the Polish Academy of Sciences Technical Sciences

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Modeling and simulation are key performance analysis and control techniques to optimize decision-making as well as design and operate complex production systems. They are also indicated as one of the technological pillars of modern industry and IT solutions supporting the implementation of the roadmap toward Industry 4.0 in the areas of digital transformation and automation. In the context of the required rapid transformation of today's enterprises, it becomes extremely important to look for solutions that allow the use of the existing infrastructure, information, and energy, so as to minimize the negative impact of new technologies and the transformation process itself on the environment. The article presents an approach to modeling large and complex production systems with the use of distributed Petri net models allowing the use of the possessed IT infrastructure as consistent with the idea of sustainable development in the activities of enterprises. This eliminates two major problems that render traditional models unusable. The first is related to the difficulties in analyzing and verifying models of enormous size and infinite space of states. The second is related to the required computing power, if such analyzes are to be performed on one computing unit, which would force the producers to replace the IT infrastructure. For this purpose, modular Petri nets are introduced. Other benefits of modularization, such as smaller components that can be independently analyzed, are also presented in the paper. The proposed modular Petri net has been implemented in the proprietary GPenSIM software. The paper is complemented by a practical example of industrial modeling of production systems with automated guided vehicles (AGVs) using the Modular Model with Intelligent Petri Modules.

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Section: B Intelligent Supervisormentioning

confidence: 99%

Modular distributed models of production systems: a Petri nets based approach

Davidrajuh,

Krenczyk,

Skolud

2023

Bulletin of the Polish Academy of Sciences Technical Sciences

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“…The proposed method has been developed in tandem to the one introduced in [1] that refers to the construction and operation of dynamic process models of discrete industrial systems. However, because of the different characteristics and behaviour in general of continuous process industrial models, the methodology has been customized with respect to them and is introduced as a completely independent methodology in the current work.…”

Section: Introductionmentioning

confidence: 99%

Model-Based Simulation Framework for Digital Twins in the Process Industry

Sarantinoudis,

Tsinarakis,

Dedousis

et al. 2023

IEEE Access

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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 requirements arising for online use of the models as digital shadows of the physical systems, in the context of digital twinning the process industry. The implemented models in conjunction with tools from other scientific fields can be used for monitoring, root cause analysis, performance optimization, limitation and recovery of the behaviour of systems. An application example of the proposed methodology is provided and useful conclusions arise. Finally, extensions of the proposed method and potential challenges are discussed.

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“…Kim BS et al [20] proposed to use machine learning model and simulation model for collaborative modeling in view of the problem that a single method could not fully reflect a complex model. Tsinarakis G et al [21] proposed a general process modeling and simulation framework for discrete industrial systems based on Petri net in the context of digital twin. Li HC et al [22] established a metamodel of manufacturing energy consumption behavior using hybrid Petri net, simulated the processing process, and finally constructed a digital twin model of energy saving manufacturing.…”

Section: Introductionmentioning

confidence: 99%

Digital twin–based dynamic prediction and simulation model of carbon efficiency in gear hobbing process

et al. 2023

Int J Adv Manuf Technol

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The transformation of manufacturing industry to green manufacturing is one of the important tasks to achieve the carbon peaking and carbon neutrality goals, which needs to improve the use efficiency of unit carbon emission.Aiming at the defect of static model in predicting accuracy and reflecting real-time machining state, a dynamic prediction and simulation model of carbon efficiency in hobbing process based on digital twin is proposed. After analyzing the dynamic characteristics of carbon emission during hobbing, three carbon efficiency targets are defined.Then a dynamic prediction and simulation model is constructed based on convolutional neural network and dynamic discrete event system specification. The framework of the carbon efficiency digital twin (CEDT) of the hobbing process is built, and the dynamic prediction and simulation models are integrated into CEDT as virtual models.Finally, the model is applied to a case study to verify the effectiveness of the method, and the influence of dynamic parameters is discussed. This model can realize the dynamic analysis of carbon emission in hobbing process, provide support for the real-time dynamic optimization of carbon efficiency in hobbing process, and help enterprises to realize green manufacturing.

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A Discrete Process Modelling and Simulation Methodology for Industrial Systems within the Concept of Digital Twins

Cited by 10 publications

References 34 publications

Modular distributed models of production systems: a Petri nets based approach

Modular distributed models of production systems: a Petri nets based approach

Model-Based Simulation Framework for Digital Twins in the Process Industry

Digital twin–based dynamic prediction and simulation model of carbon efficiency in gear hobbing process

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