From simple digital twin to complex digital twin part II: Multi-scenario applications of digital twin shop floor

Jia, Wenjie; Wang, Wei; Zhang, Zhenzu

doi:10.1016/j.aei.2023.101915

Cited by 36 publications

(9 citation statements)

References 43 publications

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“…In particular, in the article [82], it is stated that "to create the methodological approach of knowledge externalization that complements and supports the textile PDP and its stakeholders, BPM and MBSE have been identified as facilitators of knowledge creation, knowledge sharing, and knowledge utilization between stakeholders". The principles described above, similar to all others, should be applied iteratively [104][105][106][107][108][109], i.e., cyclically repeating operations after making changes to the real system and model and obtaining new information. For example, this may involve navigating up and down the hierarchical chain of systems to analyze incoming and outgoing data, combining real and virtual test data, adapting a product model based on real experience, and adjusting real usage based on simulation data.…”

Section: Resultsmentioning

confidence: 99%

Cross-Industry Principles for Digital Representations of Complex Technical Systems in the Context of the MBSE Approach: A Review

Bolshakov,

Badenko,

Yadykin

et al. 2023

Applied Sciences

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This scientific article discusses the process of digital transformation of enterprises, analyzed as complex technical systems. Digital transformation is essential for businesses to remain competitive in the global marketplace. One of the effective tools for such a transformation is model-based systems engineering (MBSE). However, there is a gap in the practical application of knowledge regarding the uniform principles for the formation of a digital representation of complex technical systems, which limits the realization of the cross-industry potential of digital transformation in the economy. The motivation for this study is to identify common cross-industry principles for the formation of digital representations of complex technical systems that can lead companies to a sustainable and successful digital transformation. The purpose of this work is to identify and formulate these principles through an analysis of publications, using an inductive approach and classifying them by the category of application. As a result of the study, 23 principles were obtained, and the degree of their use in various industries associated with complex technical systems was determined. The results of this study will help to solve the problem of cross-industry integration and guide systemic changes in the organization of enterprises during their digital transformation.

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Section: Resultsmentioning

confidence: 99%

Cross-Industry Principles for Digital Representations of Complex Technical Systems in the Context of the MBSE Approach: A Review

Bolshakov,

Badenko,

Yadykin

et al. 2023

Applied Sciences

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“…Recent studies on the development of digital twins show the importance of dealing with complexity [11,12]. On a general level, it is possible to divide between structural and dynamic complexity [27].…”

Section: Complexity In the Development Of Digital Twinsmentioning

confidence: 99%

“…The complex digital twin's development process is unknown. The development of the digital twin integrates the ideas of holism and reductionism, and it also emphasizes that the construction of complex systems necessitates not only decomposing them into simple objects that can be implemented but also analyzing relationships among the components and considering their functions (including the system's inputs and outputs) as a whole [11,12]. However, there is a scarcity of literature on how to develop complex digital twin models [11] and what the sources of complexity are during this process.…”

Section: Introductionmentioning

confidence: 99%

Sources of Complexity in the Development of Digital Twins in Manufacturing

Sanchez de Ocaña,

Bruch,

Aslanidou

2024

Advances in Transdisciplinary Engineering

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Digital twins have emerged as a critical technology to enable smart production. Digital twins can enhance the current production system by optimizing the current setup and facilitating decision-making based on facts rather than gut feeling. Despite the numerous benefits explored, digital twins have faced many challenges in developing and implementing production systems. Their complexity is causing a lack of digital twin implementations in the production system. This complexity can be traced back to physical and virtual entities and the digital twin development process. By conducting a case study in a global manufacturing company, this publication explores the sources of complexity when developing digital twins. The findings are organized around the digital twin development steps and their corresponding complexity. The number of different types of entities being modeled, the choice of the modeling approach, modeling low-frequency events, emergent phenomena, and the unpredictability and variability of the manufacturing process are all examples of structural and dynamic complexity that have been found to impede success in digital twin applications. This research has implications for managers who are involved in the development of digital twins in their organizations. It can help with methodological guidance when dealing with an undefined and complicated process of digital twin development.

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“…The ISO 9001 [ 36 ] model approach is an opening to reflect on all DTw design issues [ 37 ]. The creation of a DTw from a library of components that is gradually developed, and reusable, seems to be a way to achieve more massive deployments across an entire shop floor [ 38 ]. As the age of DTw deployments is still in its infancy, it is important to understand the significant risk of deployment over a large area.…”

Section: Digital Twin Overviewmentioning

confidence: 99%

From Sensors to Digital Twins toward an Iterative Approach for Existing Manufacturing Systems

Renard,

Saddem,

Annebicque

et al. 2024

Sensors

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Digital twin technology is a highly valued asset in the manufacturing sector, with its unique capability to bridge the gap between the physical and virtual parts. The impact of the rapid increase in this technology is based on the collection of real-world data, its standardization, and its widespread deployment on an existing manufacturing system. This encompasses sensor values, PLC internal states, and IoT, as well as how the means of linking these data with their digital counterparts. It is challenging to implement digital twins on a large scale due to the heterogeneity of protocols and data structuring of subsystems. To facilitate the integration of the digital twin into existing manufacturing architectures, we propose in this paper a framework that enables the deployment of scalable digital twins from sensors to services of digital twins in an iterative manner.

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From simple digital twin to complex digital twin part II: Multi-scenario applications of digital twin shop floor

Cited by 36 publications

References 43 publications

Cross-Industry Principles for Digital Representations of Complex Technical Systems in the Context of the MBSE Approach: A Review

Cross-Industry Principles for Digital Representations of Complex Technical Systems in the Context of the MBSE Approach: A Review

Sources of Complexity in the Development of Digital Twins in Manufacturing

From Sensors to Digital Twins toward an Iterative Approach for Existing Manufacturing Systems

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