Production in the loop – the interoperability of digital twins of the product and the production system

Vogt, Anna; Schmidt, Philipp; Mayer, Sebastian; Stark, Rainer

doi:10.1016/j.procir.2021.03.077

Cited by 6 publications

(5 citation statements)

References 15 publications

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“…At the same time, literature has focused on several challenges when applying a digital twin notion in design (Vogt et al, 2021), especially in the context of disruptive and radical products (Bertoni and Bertoni, 2022) and in product-service systems (Machchhar, et al, 2022). One of the main concerns is design reconfigurability to rapidly modify and explore the design space.…”

Section: Digital-twin Based Design: Opportunities Challenges and The ...mentioning

confidence: 99%

Cost-efficient digital twins for design space exploration: A modular platform approach

Panarotto

Isaksson

Vial

2023

Computers in Industry

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Section: Digital-twin Based Design: Opportunities Challenges and The ...mentioning

confidence: 99%

Cost-efficient digital twins for design space exploration: A modular platform approach

Panarotto

Isaksson

Vial

2023

Computers in Industry

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“…The scientific community has described DTs in a variety of ways in the literature. In some circumstances, it has become more difficult to distinguish DTs from digital models and digital shadows [9][10][11][12][13][14]. To precisely define a digital model, there must be no automated data exchange between the physical and virtual twins.…”

Section: Types and Levels Of Dt Integration (Rq3)mentioning

confidence: 99%

“…As a result, DTs have been presented in a variety of ways in the articles. In certain cases, distinguishing DTs from digital models and digital shadows has become more challenging [9][10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Analyzing the Implementation of Digital Twins in the Agri-Food Supply Chain

et al. 2023

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Background: Digital twins have the potential to significantly improve the efficiency and sustainability of the agri-food supply chain by providing visibility, reducing bottlenecks, planning for contingencies, and improving existing processes and resources. Additionally, they can add value to businesses by lowering costs and boosting customer satisfaction. This study is aimed at responding to common scientific questions on the application of digital twins in the agri-food supply chain, focusing on the benefits, types, integration levels, key elements, implementation steps, and challenges. Methods: This article conducts a systematic literature review of recent works on agri-food supply chain digital twins, using a list of peer-reviewed studies to analyze concepts using precise and well-defined criteria. Thus, 50 papers were selected based on inclusion and exclusion criteria, and descriptive and content-wise analysis was conducted to answer the research questions. Conclusions: The implementation of digital twins has shown promising advancements in addressing global challenges in the agri-food supply chain. Despite encouraging signs of progress in the sector, the real-world application of this solution is still in its early stages. This article intends to provide firms, experts, and researchers with insights into future research directions, implications, and challenges on the topic.

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“…These simulations within a digital model are based on physical models, sensor data, and flight paths to digitally reproduce the properties and behavior of the physical model (Glaessgen & Stargel, 2012). With the emergence of the Internet of Things (IoT) and the associated availability of CPS, the concept spread to other application areas (Vogt et al, 2021). The CPS-generated information serves as the basis for the concept of a DT to bring an independent information object of a physical object into the virtual space.…”

Section: Digital Twin (Hierarchical)mentioning

confidence: 99%

“…Here, DTs reflect physical objects of the real world in digital form and enable the monitoring, control, and optimization (e.g., via simulation) of these objects via a bidirectional data connection (Glaessgen & Stargel, 2012;Negri et al, 2017). Furthermore, it is potentially possible to adjust and simulate the measures before applying them to physical objects in the real world (Vogt et al, 2021). This data connection may span across several life phases of the system (Kuehner et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Design and Implementation of Hierarchical Digital Twins in Industrial Production Environments

Finke,

Groth,

Schumann

et al. 2023

Proceedings of the Annual Hawaii International Conference on System Sciences

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The increasing requirements for industrial production environments due to customer expectations, the implementation of batch size 1, and further automation of production processes are confronting companies with new challenges. In particular, the emergence of cyber-physical systems is influencing and complicating manufacturing processes by capturing an increasing amount of information within production facilities. Digital twins are an interdisciplinary technology that may solve these issues because they serve to monitor, control, and optimize cyber-physical systems by creating a digital representation of realworld objects. Existing concepts for digital twins usually only consider individual machines without their context. This is of limited use for production environments due to a multitude of different machines and associated sensor types. Therefore, we propose a requirements catalog, concept, and prototypical implementation for the hierarchical structuring of digital twins in this paper.

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Production in the loop – the interoperability of digital twins of the product and the production system

Cited by 6 publications

References 15 publications

Cost-efficient digital twins for design space exploration: A modular platform approach

Cost-efficient digital twins for design space exploration: A modular platform approach

Analyzing the Implementation of Digital Twins in the Agri-Food Supply Chain

Design and Implementation of Hierarchical Digital Twins in Industrial Production Environments

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