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

Panarotto, Massimo; Isaksson, Ola; Vial, Vanessa

doi:10.1016/j.compind.2022.103813

Cited by 14 publications

(5 citation statements)

References 42 publications

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“…DT technology can also be applied from the early design phase of the product life cycle to improve the cost efficiency of asset management. This is supported by studies like Panarotto, Isaksson and Vial that show the benefits of DTs in the design phase [5]. Additionally, DT technology is widely recognised for its ability to effectively support the maintenance of complex systems.…”

Section: Introductionmentioning

confidence: 82%

Industrial Insights on Digital Twins in Manufacturing: Application Landscape, Current Practices, and Future Needs

D’Amico

Addepalli

Erkoyuncu

2023

BDCC

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The digital twin (DT) research field is experiencing rapid expansion; yet, the research on industrial practices in this area remains poorly understood. This paper aims to address this knowledge gap by sharing feedback and future requirements from the manufacturing industry. The methodology employed in this study involves an examination of a survey that received 99 responses and interviews with 14 experts from 10 prominent UK organisations, most of which are involved in the defence industry in the UK. The survey and interviews explored topics such as DT design, return on investment, drivers, inhibitors, and future directions for DT development in manufacturing. This study’s findings indicate that DTs should possess characteristics such as adaptability, scalability, interoperability, and the ability to support assets throughout their entire life cycle. On average, completed DT projects reach the breakeven point in less than two years. The primary motivators behind DT development were identified to be autonomy, customer satisfaction, safety, awareness, optimisation, and sustainability. Meanwhile, the main obstacles include a lack of expertise, funding, and interoperability. This study concludes that the federation of twins and a paradigm shift in industrial thinking are essential components for the future of DT development.

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Section: Introductionmentioning

confidence: 82%

Industrial Insights on Digital Twins in Manufacturing: Application Landscape, Current Practices, and Future Needs

D’Amico

Addepalli

Erkoyuncu

2023

BDCC

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“…Uses are reported across diverse industrial sectors, including the optimization and maintenance of railways, impact analysis in the oil and gas industry, and health monitoring. , A DT was proposed to overcome this gap via automatic cost modeling using an adaptive data structure and ontologies throughout the product lifecycle . Another approach to achieve cost-efficiency in DT development has been proposed by modularization via a set of reusable and recomposable DT modules that allow generation of multiple DT variants, as demonstrated for the space industry. The coapplication of DTs and blockchain technologies helps lifecycle assessment, as practiced in building and construction …”

Section: Digital Twins In Agricultural Production: Application Demons...mentioning

confidence: 99%

Digital Twins in Agriculture: Orchestration and Applications

Escribà-Gelonch,

Liang,

van Schalkwyk

et al. 2024

J. Agric. Food Chem.

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Digital Twins have emerged as an outstanding opportunity for precision farming, digitally replicating in real-time the functionalities of objects and plants. A virtual replica of the crop, including key agronomic development aspects such as irrigation, optimal fertilization strategies, and pest management, can support decision-making and a step change in farm management, increasing overall sustainability and direct water, fertilizer, and pesticide savings. In this review, Digital Twin technology is critically reviewed and framed in the context of recent advances in precision agriculture and Agriculture 4.0. The review is organized for each step of agricultural lifecycle, edaphic, phytotechnologic, postharvest, and farm infrastructure, with supporting case studies demonstrating direct benefits for agriculture production and supply chain considering both benefits and limitations of such an approach. Challenges and limitations are disclosed regarding the complexity of managing such an amount of data and a multitude of (often) simultaneous operations and supports.

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“…The system is implemented in a shoe production process where the results showed that the proposed architecture is suitable for production environments that undergo constant and unpredictable change, whereby obtaining synchronous and asynchronous data obtained from the physical system serves as a basis for such interaction and obtained a continuous production of customized shoes and can continuously reconfigure the design to adapt to new user needs. In [14], they propose a DT to predict the behavior of products in the first phase of manufacturing by creating a set of DT modules that can be reused and recomposed to create variants of DTs. The case study is performed for two cases, the first one a need of a manufacturer and the second one an industrial case of propulsion systems.…”

Section: Related Workmentioning

confidence: 99%

An Immersive Digital Twin Applied to a Manufacturing Execution System for the Monitoring and Control of Industry 4.0 Processes

Caiza,

Sanz

2024

Applied Sciences

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The present research proposes the implementation of an architecture for industrial process monitoring and control for a manufacturing execution system (MES) using an immersive digital twin (DT). For the design of the proposal, cyber–physical systems (CPS), MES, robotics, the Internet of Things, augmented reality, virtual reality, and open platform communication-unified architecture (OPC UA) communication protocols were used to integrate these technologies and enhance the functionalities of the DT by providing greater performance. The proposed work is implemented in an Industry 4.0 laboratory that is composed of Festo Cyber–Physical Factory and CP-Lab stations. The implementation of the architecture is based on ISO 23247, where the following requirements were considered for the design of DTs: (1) observable attributes and 3D design and visualization of all physical production lines in all of their stages, (2) a communication entity through the OPC UA protocol for the collection of state changes of manufacturing elements, (3) a DT entity where digital models are modeled and updated based on the collected data, and (4) user entities through the use of AR and VR to make manufacturing more efficient. The experimental results showed that the architecture enables interoperability between different platforms and control subsystems. It allows for the detection and diagnosis of problems during the execution of the production line; in addition, the high-fidelity simulation and AR and VR environments provided by the DT with data obtained in real time can improve the accuracy and efficiency of manufacturing through a more detailed analysis of the process, providing advantages such as interactive creation for customized products and continuous innovation.

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

Cited by 14 publications

References 42 publications

Industrial Insights on Digital Twins in Manufacturing: Application Landscape, Current Practices, and Future Needs

Industrial Insights on Digital Twins in Manufacturing: Application Landscape, Current Practices, and Future Needs

Digital Twins in Agriculture: Orchestration and Applications

An Immersive Digital Twin Applied to a Manufacturing Execution System for the Monitoring and Control of Industry 4.0 Processes

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