Urban Mining: Applying Digital Twins for Sustainable Product Cascade Use

Pehlken, Alexandra; Baumann, Sabine

doi:10.1109/ice/itmc49519.2020.9198462

Cited by 15 publications

(20 citation statements)

References 33 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%

“…In the EoL phase, instance-based DT data support the decision-making process for the reuse and recycling of components [55][56][57]. They provide essential information about the material and component composition of the product.…”

Section: Digital Twins For Circular Economymentioning

confidence: 99%

“…This information can be used to determine the remaining useful life of components [55]. Thus, DTs underpin questions relating to the reuse of individual components, as well as if and when these components should be handed over for recycling [55][56][57]60]. Furthermore, DTs can help to reduce the complexity and improve the efficiency of the EoL disassembly processes by providing the necessary information, e.g., an indication of compulsory disassembly or the location of parts to be disassembled.…”

Section: Digital Twins For Circular Economymentioning

confidence: 99%

“…Alamerew and Brissaud created a multi-criteria decision tool to evaluate circular product strategies from an integrated perspective, i.e., considering technical, economic, environmental, managerial, and societal aspects simultaneously [71]. Pehlken and Baumann developed a web-based decision tool that captures the reuse of used car parts and their life cycle extension [56]. All approaches refer to the fact that the information base on the condition of the products has to be improved in order to evaluate the R-Strategies.…”

Section: Challenges and Needsmentioning

confidence: 99%

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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: Digital Twins For Circular Economymentioning

confidence: 99%

Section: Digital Twins For Circular Economymentioning

confidence: 99%

Section: Challenges and Needsmentioning

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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“…connectivity. According to Pehlken and Baumann (2020), DTs help provide production information to a variety of stakeholders in the recycling industry and therefore increase the impact on sustainability. Zafarzadeh et al (2021) focus on production logistics.…”

mentioning

confidence: 99%

Digital twin-driven smart supply chain

et al. 2022

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Today’s supply chain is becoming complex and fragile. Hence, supply chain managers need to create and unlock the value of the smart supply chain. A smart supply chain requires connectivity, visibility, and agility, and it needs be integrated and intelligent. The digital twin (DT) concept satisfies these requirements. Therefore, we propose creating a DT-driven supply chain (DTSC) as an innovative and integrated solution for the smart supply chain. We provide background information to explain the DT concept and to demonstrate the method for building a DTSC by using the DT concept. We discuss three research opportunities in building a DTSC, including supply chain modeling, real-time supply chain optimization, and data usage in supply chain collaboration. Finally, we highlight a motivating case from JD.COM, China’s largest retailer by revenue, in applying the DTSC platform to address supply chain network reconfiguration challenges during the COVID-19 pandemic.

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Digital Twins in Logistics: Requirements, Application and Potentials

Zarnitz

Sträube

2023

Digitalisierung Im Einkauf

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Urban Mining: Applying Digital Twins for Sustainable Product Cascade Use

Cited by 15 publications

References 33 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 twin-driven smart supply chain

Digital Twins in Logistics: Requirements, Application and Potentials

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