Daten- und Informationsqualität

doi:10.1007/978-3-658-09214-6

Cited by 14 publications

(2 citation statements)

References 42 publications

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“…The methodical approach describes a step-by-step process that aids stakeholders in discussing, defining and identifying gaps in data collection through systematic uncovering and visualization. Wang and Strong (1996), Hildebrand et al (2015) and Zaveri et al (2015))…”

Section: Methodsmentioning

confidence: 99%

Methodological Assessment of Data Suitability for Defect Prediction

et al. 2020

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Purpose: This paper provides a domain specific concept to assess data suitability of various data sources along the production chain for defect prediction.Methodology/Approach: A seven-phase methodology is developed in which the data suitability for defect prediction in interlinked production steps is assessed. For this purpose, the manufacturing process is mapped and potential influencing variables on the origin of defects are identified. The available data is evaluated and quantified with regard to the criteria relevancy, completeness, appropriate amount of data, accessibility and interpretability. The individual assessments are then visualized in an overview, gaps in data acquisition are identified and needs for action are derived.Findings: The research shows a seven-phase methodology to systematically assess data suitability for defect prediction and identify data gaps in interlinked production steps.Research Limitation/implication: This research is limited to the analysis of contextual data quality for the use case of defect prediction. Other data analytics applications or processes outside of manufacturing are not included.Originality/Value of paper: The paper provides a new approach to identify gaps in data acquisition by systematically assessing data suitability for defect prediction and deducting needs for action. The accuracy of predictive defect models is then to be improved by the subsequent optimization of the data basis.

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Section: Methodsmentioning

confidence: 99%

Methodological Assessment of Data Suitability for Defect Prediction

et al. 2020

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“…Why does the exchange of information fail? Furthermore, the rules of an orderly exchange of information [28] and the respective quality of information must be taken into account [29]. Table 1 shows a rough representation of the information needs, offers and points of conflict of the relevant stakeholders in a circular economy of traction batteries.…”

Section: Materials Flow Component and Information Flow Systemmentioning

confidence: 99%

Recycling 4.0

Blömeke

Mennenga

Herrmann

et al. 2020

Proceedings of the 7th International Conference on ICT for Sustainability

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Resource scarcity is a global challenge, especially in E-mobility. Currently, Electric vehicles (EVs) are considered as an attractive option on a pathway towards low emission mobility. Nevertheless, due to the increasing sales and acceptance of EVs, new challenges arise regarding the scarcity of utilized materials, especially regarding lithium-ion battery systems. Battery production is responsible for the major share of the environmental and economical impacts of the overall EV production. In order to tackle these challenges, resource-efficient processes and a circular use are necessary. Today, a variety of new Industry 4.0 technologies (such as high integrated production systems) are affordable and have reached maturity. Like Industry 4.0, also Recycling 4.0 aims at digitalization of processes but with the focus on the End of Life stage of products. The main goal of the German research project Re-*All Authors contributed equally to this research cycling 4.0 is to develop approaches, which enable advanced information creation, transfer and use along the entire supply chain. In this work, a holistic approach towards an advanced circular economy (Recycling 4.0) is shown. This approach combines methods from different areas (such as economics, mechanical engineering, and computer science) and paves the way towards an advanced circular economy. This paper introduces this approach by discussing the current situation of EV recycling and related judicial fundamentals. Furthermore, the overall approach is introduced, and the discipline-specific sub-approaches are discussed in detail. CCS CONCEPTS •Computer systems organization➝ Architectures➝ distributed Architectures •Social and professional topics➝Professional topics➝Computing industry➝Sustainability

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