Digital Twins for Circular Economy - Enabling Decision Support for R-Strategies

Mügge, Janine; Hahn, Inka Rebekka; Riedelsheimer, Theresa; Chatzis, Johannes

doi:10.30844/im_22-6_42-46

Cited by 3 publications

(6 citation statements)

References 8 publications

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“…DTs help to continuously collect, evaluate, and analyze data and information throughout the product life cycle. In this way, they provide transparency across the entire supply chain and enable the traceability of individual products, components, and materials [51][52][53][54][55][56][57]. In addition, DTs help to provide the right information to the right stakeholders at the right time in a decentralized manner [51].…”

Section: Digital Twins For Circular Economymentioning

confidence: 99%

“…avoided during raw material extraction [70,71]. Further examples on the component level are the remaining lifetime, the basic reuse potential, or the degree of damage [52,56]. Societal KPIs can be exposure to hazardous materials or compliance with legislation [52,70,71].…”

Section: Final Remarksmentioning

confidence: 99%

“…Further examples on the component level are the remaining lifetime, the basic reuse potential, or the degree of damage [52,56]. Societal KPIs can be exposure to hazardous materials or compliance with legislation [52,70,71]. Economic KPIs can be market demand or revenue selling potential [52,71].…”

Section: Final Remarksmentioning

confidence: 99%

“…Societal KPIs can be exposure to hazardous materials or compliance with legislation [52,70,71]. Economic KPIs can be market demand or revenue selling potential [52,71]. For this purpose, methods of life cycle costs and life cycle assessment can be used, which are based on methods of a life cycle approach [70,71].…”

Section: Final Remarksmentioning

confidence: 99%

See 3 more Smart Citations

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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Section: Digital Twins For Circular Economymentioning

confidence: 99%

Section: Final Remarksmentioning

confidence: 99%

Section: Final Remarksmentioning

confidence: 99%

Section: Final Remarksmentioning

confidence: 99%

See 2 more Smart Citations

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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“…Digital technologies such as the digital twin (DT) can contribute to a data-driven implementation of CE by processing relevant information about individual assets for relevant stakeholders at the right time throughout the product lifecycle (PCL). The concept of a DT for CE is a promising approach for establishing a data-driven ecosystem that enables new business and value creation models, from SMEs to large enterprises [3,4]. Currently, this topic is being explored in several international research projects, such as the German project Catena-X [5] or RECLAIM [6].…”

Section: Introductionmentioning

confidence: 99%

Digital Twins within the Circular Economy: Literature Review and Concept Presentation

Mügge,

Seegrün,

Hoyer

et al. 2024

Sustainability

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Digital twins offer a promising approach to sustainable value creation by providing specific life cycle data and enabling the monitoring and implementation of circular economy strategies throughout the product’s life cycle. By analyzing product, component, and material data, as well as process data, it is possible to create transparency throughout a product’s life cycle, build a data-driven product ecosystem, and establish new business and value creation models, from SMEs to large enterprises. This paper identifies application scenarios, their technological readiness level, and the challenges of digital twins for the circular economy in the manufacturing industry based on a systematic literature review. Gaps such as ensuring a continuous flow of information and taking into account the different levels of digitalization of companies are identified. As a main result, a holistic concept for the scoping of a digital twin for the circular economy is presented. One specific use case for end-of-life decision-making is elaborated upon. It is shown that the circular economy can be supported by digital twin data, especially for the optimal decision on end-of-life vehicles.

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A conceptual framework for information linkage and exchange throughout the lifecycle of process plants

2023

DS 125: Proceedings of the 34th Symposium Design for X (DFX2023)

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Based on the need of unified access to process plant related information across disciplines, companies and lifecycle phases as well as efforts to establish methods of modularization and standardization, this paper introduces a conceptual framework to address these challenges. Based on a systematic literature review and an analysis of data and information flows of two companies, a comprehensive list of requirements is derived. A conceptual framework is proposed based on these requirements and consisting of four linked structures with distinct types of elements. Also, the concept of metadata management within the framework is illustrated which utilizes interfaces to the native Data Management Systems. These interfaces are used to retrieve source data of asset attributes managed within the framework.

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Digital Twins for Circular Economy - Enabling Decision Support for R-Strategies

Cited by 3 publications

References 8 publications

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

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

Digital Twins within the Circular Economy: Literature Review and Concept Presentation

A conceptual framework for information linkage and exchange throughout the lifecycle of process plants

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