Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model

Kalaboukas, Kostas; Rožanec, Jože M.; Košmerlj, Aljaž; Kiritsis, Dimitris; Arampatzis, George

doi:10.3390/app11094103

Cited by 29 publications

(22 citation statements)

References 18 publications

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“…Regarding hidden crime investigations, the community is closed for management during the epidemic; however, hidden crimes, such as gambling and drug abuse, may occur in closed places, bringing a bad impact on social security. UAVs can detect these places panoramically and identify personnel and surrounding environment quickly, playing a vital role in multiple stages such as forensics and reconnaissance [20].…”

Section: A Feasibility Analysis Of Uav Dts For Covid-19 Prevention An...mentioning

confidence: 99%

Digital Twins in Unmanned Aerial Vehicles for Rapid Medical Resource Delivery in Epidemics

Chen

Feng

et al. 2022

IEEE Trans. Intell. Transport. Syst.

108

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The purposes are to explore the effect of Digital Twins (DTs) in Unmanned Aerial Vehicles (UAVs) on providing medical resources quickly and accurately during COVID-19 prevention and control. The feasibility of UAV DTs during COVID-19 prevention and control is analyzed. Deep Learning (DL) algorithms are introduced. A UAV DTs information forecasting model is constructed based on improved AlexNet, whose performance is analyzed through simulation experiments. As end-users and task proportion increase, the proposed model can provide smaller transmission delays, lesser energy consumption in throughput demand, shorter task completion time, and higher resource utilization rate under reduced transmission power than other state-of-art models. Regarding forecasting accuracy, the proposed model can provide smaller errors and better accuracy in Signal-to-Noise Ratio (SNR), bit quantizer, number of pilots, pilot pollution coefficient, and number of different antennas. Specifically, its forecasting accuracy reaches 95.58% and forecasting velocity stabilizes at about 35 Frames-Per-Second (FPS). Hence, the proposed model has stronger robustness, making more accurate forecasts while minimizing the data transmission errors. The research results can reference the precise input of medical resources for COVID-19 prevention and control.

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Section: A Feasibility Analysis Of Uav Dts For Covid-19 Prevention An...mentioning

confidence: 99%

Digital Twins in Unmanned Aerial Vehicles for Rapid Medical Resource Delivery in Epidemics

Chen

Feng

et al. 2022

IEEE Trans. Intell. Transport. Syst.

108

View full text Add to dashboard Cite

show abstract

“…However, this information is missing at the EoL when making a decision regarding the EoL treatment and the most appropriate R-Strategy to reuse or remanufacture parts or material recycling [51,[65][66][67][68][69]. A number of approaches that try to provide EoL information for better decision making already exist.…”

Section: Challenges and Needsmentioning

confidence: 99%

Empowering End-of-Life Vehicle Decision Making with Cross-Company Data Exchange and Data Sovereignty via Catena-X

et al. 2023

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The mobility sector is the world’s second-largest producer of energy-related CO2 emissions, and it is facing a global resource shortage. The demand for circular products, the use of secondary materials in future vehicles, and the need for sustainable business models in the mobility sector is increasing. However, a transparent and end-to-end data exchange throughout the entire value network is missing, which is hindering an efficient circular economy. Relevant information on the vehicle, its components, and materials at the end of the product life cycle are often missing. In this context, this paper presents a decision support system based on Digital Twin data for a circular economy solution as a software application. It was developed within the German research project Catena-X following an integrated approach of user-centered design, the V-model, and within the Scaled Agile Framework. By combining these methodological approaches, customer-oriented solutions were developed and continuously improved at each stage of development to shorten the time-to-market. Catena-X is based on Gaia-X principles. In Gaia-X, necessary core services are developed, and contraction negotiation for data exchange and usage policies is enabled and implemented. The decision support system provides important information about the exact composition and condition of the vehicle, its components, and its materials. Thus, it helps to improve efficiency, sustainability, and the implementation of the circular economy. The decision support system was tested and validated with a use case that provided Digital Twin data on the end-of-life vehicle.

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“…In the case of optimization service, there is a repeated interchange of data, where PSM produces alternative scenarios, provides them to optimization for evaluation and according to the results may receive feedback for further scenario creation. The most important cognition related roles of process models are to operate as Dynamic Digital Shadows in parallel with the physical system, to support AI inference, to help efficiency evaluation, to represent interacting entities and to manage the systemic knowledge taking into consideration the data, the states of the interacting entities and their behaviour [35].…”

Section: A Description Of Process Modelling and Simulation Rolementioning

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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Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model

Cited by 29 publications

References 18 publications

Digital Twins in Unmanned Aerial Vehicles for Rapid Medical Resource Delivery in Epidemics

Digital Twins in Unmanned Aerial Vehicles for Rapid Medical Resource Delivery in Epidemics

Empowering End-of-Life Vehicle Decision Making with Cross-Company Data Exchange and Data Sovereignty via Catena-X

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

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