Demonstration of an Industrial Framework for an Implementation of a Process Digital Twin

2018 ◽  
Author(s):  
Jonathan M. Eyre ◽  
Tony J. Dodd ◽  
Chris Freeman ◽  
Richard Lanyon-Hogg ◽  
Aiden J. Lockwood ◽  
...  
Keyword(s):  
Discrete Event ◽  
Digital Twin ◽  
Event Simulation ◽  
Industrial Community ◽  
Digital Twins ◽  
Architectural Framework ◽  
Structured Information ◽  
Physical Asset ◽  
Additional Value ◽  
Plant Simulation

Digital twins have received a large amount of exposure around what they can offer to industry generating lots of noise, however there are few demonstrations utilizing published architectural frameworks. This has been addressed by investigating industrial publications and reports on what is the minimum essential requirements to form a digital twin and additional desirable features. From this, a generic industrial architectural framework of a digital twin has been established to utilize real-time information from a physical asset forming a monitoring digital twin. This has been expanded to incorporate a Discrete Event Simulation (DES) to form a process digital twin utilizing structured information about the process. The framework, including the DES extension, has been validated on a reconfigurable fixture utilizing an established process that has been modelled using Siemens Plant Simulation. This result forms the start of a feedback loop presenting additional value transforming a monitoring digital twin into a process digital twin. This provides a solid foundation for discussion within the industrial community about defining the core functionality required for digital twins.

scholarly journals Advances in energy-related plant simulation by considering load and temperature profiles in discrete event simulation

Procedia CIRP ◽  
2019 ◽  
Vol 81 ◽  
pp. 1325-1330
Author(s):  
Andreas Mayr ◽  
Tobias Lechler ◽  
Toni Donhauser ◽  
Maximilian Metzner ◽  
Eike Schäffer ◽  
...  
Keyword(s):  
Discrete Event Simulation ◽  
Discrete Event ◽  
Temperature Profiles ◽  
Event Simulation ◽  
Related Plant ◽  
Plant Simulation

scholarly journals Development of Virtual Emulation Modelling on the Reconfigurable Hot Forming Process and Its Digital Twin Implementation Perspectives

2021 ◽  
Author(s):  
Belal M. Aly ◽  
Kai Cheng
Keyword(s):  
Hot Forming ◽  
Forming Process ◽  
Digital Twin ◽  
Twin System ◽  
Physical Element ◽  
Digital Twins ◽  
Virtual Simulations ◽  
Physical Asset

In this paper, the development of virtual emulation modelling is presented on the reconfigurable hot forming process and its further implementation for the associated digital twins. When validating the developed Digital Twin system, it is essentially important to test the digital twin prior to its connection to a real physical asset especially from a safety and efficiency prospective. The development is focused on digital virtual emulation of the reconfigurable hot forming process, which can emulate the physical element as the means of validating the digital twin system with the throughout-digital virtual simulations and underlying results.

scholarly journals ANALYSIS OF THE SELECTED SIMULATION SOFTWARE PACKAGES: A STUDY

2021 ◽  
Vol 7 (4) ◽  
pp. 111-120
Author(s):  
Kateryna Kovbasiuk ◽  
Kamil Židek ◽  
Michal Balog ◽  
Liudmyla Dobrovolska
Keyword(s):  
Descriptive Analysis ◽  
Discrete Event ◽  
Simulation Modelling ◽  
Simulation Software ◽  
Simulation Tools ◽  
Event Simulation ◽  
Software Market ◽  
Software Packages ◽  
Plant Simulation ◽  
The Given

The simulation software market is becoming more complex and universal. Computer simulations are thus more accessible and are becoming a modern tool that has a wide application in industry. Their potential and benefits can be used in small and large projects. A simulation model can take into account inventory, assembly, production and human resources, leading to decisions that can maintain or improve efficiency at the lowest possible cost. The data obtained through the simulation allow to test different combinations and scenarios in the virtual world. The benefits of manufacturing simulation include reducing investment risk, minimizing waste, improving efficiency, reducing energy consumption and even increasing worker health. The question arises as to which of the possible simulation packages is the most suitable for a given company, so that the investments made are the best possible. In the first part of the paper the theoretical basis of simulation in Industry 4.0 is presented, including the description of the possible simulation modelling tools. The second part of the paper offers comparative and descriptive analysis of six selected discrete-event simulation software packages – AnyLogic, Arena, FlexSim, SIMUL8, Tecnomatix Plant Simulation and WITNESS. The given simulation tools are compared based on their main characteristics, simulation features, application areas and popularity among the companies which use simulation software packages.

scholarly journals DIGITAL TWINS: COMBINED SURVEYING PRAXIS FOR MODELLING

2021 ◽  
Author(s):  
CECILIA MARIA BOLOGNESI ◽  
Martina Signorini
Keyword(s):  
Real Time ◽  
New Technologies ◽  
Significant Information ◽  
Existing Building ◽  
The Real ◽  
Digital Twin ◽  
Digital Twins ◽  
Time Component ◽  
Building Information ◽  
Physical Asset

While the construction sector embraces the digitalization, new technologies are spreading and are generating benefits. The need of creating a 3D model of the reality, in particular of the built asset, is not new. The Building Information Modelling, a process that gives a great contribution in improving project quality, reducing errors, avoiding uncertainties and enhancing collaboration, allows a virtual representation of the existing asset enriching its geometry with precious and significant information related to its properties. Despite BIM benefits, BIM models do not take into account the real-time component and do not report the real-time behaviour of the building. Digital twin, the virtual copy of an object, instead creates a real-time virtual twin of the physical asset considering this ingredient and reproducing how the building behaves. The paper starts right from the investigation of the Digital Twin concepts and its main features and proceeds with an analysis of several technologies and instruments exploited till now for the surveying and positioning of existing buildings. In addition, a new toolkit based on AR and coupled with sensors and visualisation tool developed by xxx, an ongoing H2020 project, is presented to show its main advantages when it comes to representing the virtual copy of an existing building.

scholarly journals Digital Twin of COVID-19 Mass Vaccination Centers

2021 ◽  
Vol 13 (13) ◽  
pp. 7396
Author(s):  
Francesco Pilati ◽  
Riccardo Tronconi ◽  
Giandomenico Nollo ◽  
Sunderesh S. Heragu ◽  
Florian Zerzer
Keyword(s):  
Simulation Model ◽  
Mobile Application ◽  
Patient Flow ◽  
Discrete Event ◽  
Process Time ◽  
Digital Twin ◽  
Event Simulation ◽  
Time Period ◽  
Minimum Number ◽  
Short Time

The problem is the vaccination of a large number of people in a short time period, using minimum space and resources. The tradeoff is that this minimum number of resources must guarantee a good service for the patients, represented by the time spent in the system and in the queue. The goal is to develop a digital twin which integrates the physical and virtual systems and allows a real-time mapping of the patient flow to create a sustainable and dynamic vaccination center. Firstly, to reach this goal, a discrete-event simulation model is implemented. The simulation model is integrated with a mobile application that automatically collects time measures. By processing these measures, indicators can be computed to find problems, run the virtual model to solve them, and replicate improvements in the real system. The model is tested in a South Tyrol vaccination clinic and the best configuration found includes 31 operators and 306 places dedicated for the queues. This configuration allows the vaccination of 2164 patients in a 10-h shift, with a mean process time of 25 min. Data from the APP are managed to build the dashboard with indicators like number of people in queue for each phase and resource utilization.

scholarly journals Discrete Event Simulation and Digital Twins: Review and Challenges for Logistics

2020 ◽  
Vol 51 ◽  
pp. 1636-1641
Author(s):  
K. Agalianos ◽  
S.T. Ponis ◽  
E. Aretoulaki ◽  
G. Plakas ◽  
O. Efthymiou
Keyword(s):  
Discrete Event Simulation ◽  
Discrete Event ◽  
Event Simulation ◽  
Digital Twins
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