Simulated-based methodology for the interface configuration of cyber-physical production systems

Alla, Abderrahim Ait; Kreutz, Markus; Rippel, Daniel; Lütjen, Michael; Freitag, Michael

doi:10.1080/00207543.2020.1778209

Cited by 14 publications

(3 citation statements)

References 27 publications

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“…In this account, a commonly used approach is discrete event simulation (DES) model. The DT-based DES approach is used to simulate the non-automated manufacturing process (Santos et al, 2020), evaluate the configuration design of the DT-based complex manufacturing system (Ait-Alla et al, 2021;Jiang et al, 2021;Murphy et al, 2020), detect production bottlenecks and faulty (Jung et al, 2021), as well as in service scheduling and failure probability prediction (Negri et al, 2021).…”

Section: Cluster 8: Pi/dt-based Simulation and Optimisationmentioning

confidence: 99%

“…With the capabilities to generate virtual instances and control the changes of a physical object in real-time, DT is often integrated with advanced technologies such as IoT, big data analytics and blockchain, to develop smart, interconnected supply chain (SC) and logistics system, so called logistics/SC DT (Ivanov et al, 2019;Ivanov and Dolgui, 2021). Some perceived benefits of DT in SC management (SCM) are to remotely and instantly monitor the operations (e.g., production) and proactively mitigate risks and disruptions through timely decision makings (Ait-Alla et al, 2021;Tao et al, 2019b). Due to its functions, DT is thus well-known as a key driver of hyperconnected PI systems.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Knowledge mapping of digital twin and physical internet in Supply Chain Management: A systematic literature review

Nguyen

Duong

Nguyen

et al. 2022

International Journal of Production Economics

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Section: Cluster 8: Pi/dt-based Simulation and Optimisationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Knowledge mapping of digital twin and physical internet in Supply Chain Management: A systematic literature review

Nguyen

Duong

Nguyen

et al. 2022

International Journal of Production Economics

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“…twin), which can be taken as an auxiliary tool for optimizing the performance of the physical system during its whole life cycle. There are a large number of applications of digital twin in the field of manufacturing systems [11,12], construction industry [13], smart cities [3,14], damage detection in structures [15], etc. Nevertheless, the related academic researches and practical applications of digital twin smart freeway (DTSF) are very limited.…”

Section: Introductionmentioning

confidence: 99%

Framework and operation of digital twin smart freeway

Zhao

Chen

et al. 2022

IET Intelligent Trans Sys

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Smart freeway is the newest form of next generation of freeway system which aims to achieve more sustainable objectives utilizing advanced information and communication technologies. Taking the advantages of digital twin on near‐real‐time interaction between the physical and cyber systems, the framework, operation, and enabled technologies of digital twin smart freeway (DTSF) are developed in this paper. A three‐layer conceptual framework is first discussed for understanding the fundamental structure, core components, and operation procedure of a DTSF system in the context of smart transportation. The key technologies of a DTSF system are also investigated, such as simulation modelling, big data analysis, intelligent prediction, and integrated freeway control. Moreover, a well‐designed case study based on Simulation of Urban Mobility (SUMO) is provided to verify the efficiency of the proposed freeway control strategy by integrating perimeter control of upstream urban network and traffic regulation of freeway segments. To the best of our knowledge, it is the first time to investigate integrated freeway control under the framework of digital twin.

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Reviewing the Application of Data Driven Digital Twins in Manufacturing Systems: A Business and Management Perspective

Badakhshan

Ball

2021

Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems

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Simulation modelling has been a widely used tool for analyzing manufacturing systems and improving their performance. Although, little attention has been paid to the application of data-driven simulation modelling of the manufacturing systems. With the development of new-generation information and digitalization technologies, more data can be collected from the manufacturing shop floor. This has paved the way for employing data-driven simulation of manufacturing systems knowns as a digital twin. This paper reviews the literature and practice on digital twins in manufacturing systems from a business and management perspective to identify the gaps and recommend avenues for future research. The results show that 2018 has been a turning point in the literature with small scale case studies of digital twins emerging independent of commercial practice. Since 2018 the digital twin literature has moved on from descriptions and conceptual frameworks to focus on one product lifecycle phase with any reference to sustainability advance being confined to energy and resource efficiency. Practice has been advanced by manufacturers and IT vendors however the definition of digital twins lacks precision for ease comparison with the literature. Future avenues for research are identified in the areas of lifecycle phases and digital model fidelity.

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Simulated-based methodology for the interface configuration of cyber-physical production systems

Cited by 14 publications

References 27 publications

Knowledge mapping of digital twin and physical internet in Supply Chain Management: A systematic literature review

Knowledge mapping of digital twin and physical internet in Supply Chain Management: A systematic literature review

Framework and operation of digital twin smart freeway

Reviewing the Application of Data Driven Digital Twins in Manufacturing Systems: A Business and Management Perspective

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