Considering the concept of a Circular Economy, which entails several life cycles of, e.g., vehicles, their components, and materials, it is important to investigate how the respective Digital Twins are managed over th...
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Testing complex systems is crucial for ensuring safety, especially in automated driving, where diverse data sources and variable environments pose challenges. Here, robust safety validation is critical but exhaustive ...
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Considering the concept of a Circular Economy, which entails several life cycles of, e.g., vehicles, their components, and materials, it is important to investigate how the respective Digital Twins are managed over th...
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Considering the concept of a Circular Economy, which entails several life cycles of, e.g., vehicles, their components, and materials, it is important to investigate how the respective Digital Twins are managed over the lifecycle of their physical assets. This publication presents and compares three approaches for managing Digital Twins in industrial use cases. For the aggregation of these approaches, a user-centered design approach has been used in the research project Catena-X which focuses on the automotive industry. The results are analyzed qualitatively based on aspects such as data ownership and data sovereignty. It was identified, that all three approaches have limitations and benefits which make them useful in different scenarios. An overview of their strengths and weaknesses is presented to select an appropriate approach In similar setups. The results described in this publication can be used to select the best update approach in data spaces where multiple stakeholders are able to update information on a single asset.
Testing complex systems is crucial for ensuring safety, especially in automated driving, where diverse data sources and variable environments pose challenges. Here, robust safety validation is critical but exhaustive ...
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ISBN:
(数字)9798331534677
ISBN:
(纸本)9798331534684
Testing complex systems is crucial for ensuring safety, especially in automated driving, where diverse data sources and variable environments pose challenges. Here, robust safety validation is critical but exhaustive n-way combinatorial testing is impractical due to the vast number of test cases. The STARS framework uses tree-based scenario classifiers to limit feature combinations in a given domain.
The growing data economy increasingly focuses on self-determined and autonomous data sharing, supported by infrastructures that create a trustful and secure environment. A key feature in this context is the offering, ...
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The growing data economy increasingly focuses on self-determined and autonomous data sharing, supported by infrastructures that create a trustful and secure environment. A key feature in this context is the offering, negotiation, and enforcement of so-called data usage conditions (DUCs), also known as policies. The design of involved softwaresystems requires a structured and stakeholder-specific elicitation of technical requirements. To address this issue, we define a requirements model, consisting of actor, dataset, and condition entities, for sovereign data sharing and present a method for requirements elicitation in form of a five-step agenda with 13 validation conditions (VCs). The application of this method produces a set of instantiated requirements templates that provide descriptive information about involved actors, identified datasets, and applied DUCs. We demonstrate our method using an established use case from the automotive industry and evaluate it in qualitative expert interviews.
Maintenance is pivotal in industry, with condition-based maintenance emerging as a key strategy. This involves monitoring the machine condition through sensor data analysis. Model-based approaches compare observed dat...
ISBN:
(纸本)9798331534202
Maintenance is pivotal in industry, with condition-based maintenance emerging as a key strategy. This involves monitoring the machine condition through sensor data analysis. Model-based approaches compare observed data with expected values from models, which requires high-quality models. An established method is to use simulation models, which in many cases produce good results but may lack precision due to uncertainties. Alternatively, models created by machine learning can detect patterns directly from data. This paper proposes combining simulation models with machine learning models, leveraging the simulation's a-priori knowledge and machine learning's data patterns to enhance models for condition monitoring. Recurrent neural networks are suggested as the machine learning method. The paper outlines a systematic approach and demonstrates its application in an industrial use case, which investigates vacuum processes in industrial furnaces.
Sustainability is a challenge for society that circular economy tries to tackle. The metaverse, as an emerging technology that incorporates digital twins and simulation in an immersive virtual environment, has not bee...
ISBN:
(纸本)9798331534202
Sustainability is a challenge for society that circular economy tries to tackle. The metaverse, as an emerging technology that incorporates digital twins and simulation in an immersive virtual environment, has not been thoroughly investigated in connection to circular economy. Thus, the purpose of this study is to summarize the potentials and barriers of the use of the metaverse for circular economy. By conducting a structured literature review, this paper categorizes the findings into dimensions that are important for both the metaverse and circular economy. A variety of potentials and barriers that cover different perspectives important for businesses aiming to comply with circular economy principles is discovered. The findings include potentials and barriers in several areas, like the access to the metaverse, connected costs, data, knowledge transfer, collaboration, innovation, product design, production planning, training of employees, and transportation. The results can be used to promote the implementation of circular economy principles.
This research study examines the applications of the industrial metaverse in supply chain management. Thus, it reviews and analyzes the up-to-date knowledge along the Supply Chain Operations Reference Model. Therefore...
ISBN:
(纸本)9798331534202
This research study examines the applications of the industrial metaverse in supply chain management. Thus, it reviews and analyzes the up-to-date knowledge along the Supply Chain Operations Reference Model. Therefore, a structured literature review is conducted. We derive six core functionalities of the industrial metaverse in supply chains: visibility and monitoring, prediction, simulation, collaboration, training, and optimization. Furthermore, their presence along the different phases of a supply chain is investigated. Besides the functionalities, the relationship between the industrial metaverse and simulation applications and digital twins is analyzed, and a brief description of possible metaverse architectures is provided. This study additionally derives research gaps within the emerging field of metaverse applications and research and defines paths to tackle them.
The documentation landscape for nursing care data in Germany is predominantly heterogeneous and unstructured. Therefore, insightful methods such as Artificial Intelligence (AI) are difficult to implement. We propose a...
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In this paper, we introduce the information logistics concept and demonstrate its relevance for the field of wearable computing. Information logistics is an innovative technology based on the idea that the right infor...
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ISBN:
(纸本)0769519210
In this paper, we introduce the information logistics concept and demonstrate its relevance for the field of wearable computing. Information logistics is an innovative technology based on the idea that the right information gets to the recipient, e.g. journalist at the right time. The objective is a need- and user-oriented information supply according to just-in-time principles. The Smart-Wear project is a first step towards a personalized, wearable information broker based on the information logistics concept. In this paper, we want to illustrate the complexity of such a project aiming to deliver "information skin-deep". We therefore present the underlying idea as well as the system architecture. We furthermore summarize the experiences and results of the customer study as user acceptance proves to be one of the major tasks of wearable computing due the impact such technologies have on the users.
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