Ovtcharova, Jivka
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Publication Access status: Metadata only , Digital Twin Modeling for Smart Injection MoldingIn traditional injection molding, each level of the process has its own monitoring and improvement initiatives. But in the upcoming industrial revolution, it is important to establish connections and communication among all stages, as changes in one stage might have an impact on others. To address this issue, digital twins (DTs) are introduced as virtual models that replicate the entire injection molding process. This paper focuses on the data and technology needed to build a DT model for injection molding. Each stage can have its own DT, which are integrated into a comprehensive model of the process. DTs enable the smart automation of production processes and data collection, reducing manual efforts in supervising and controlling production systems. However, implementing DTs is challenging and requires effort for conception and integration with the represented systems. To mitigate this, the current work presents a model for systematic knowledge-based engineering for the DTs of injection molding. This model includes fault detection systems, 3D printing, and system integration to automate development activities. Based on knowledge engineering, data analysis, and data mapping, the proposed DT model allows fault detection, prognostic maintenance, and predictive manufacturing.Source Type:Article3 - Some of the metrics are blocked by yourconsent settings
Publication Access status: Metadata only , Empirical research on banks' risk disclosure: Systematic literature review, bibliometric analysis and future research agendaThe purpose of this paper is to outline the current state of empirical research on banks' risk reporting. In ADDition to the development of the research field over time, regulatory trends and drivers for academic research on risk reporting will be derived. The review follows a triangulated approach: In ADDition to a qualitative content analysis based on the SLR, a quantitative bibliometric analysis using the scientific visualization techniques bibliometrix and VOSviewer will serve as a robustness check. The sole focus of this SLR on banks reflects the regulatory specificity of the financial services industry and serves to derive recommendations for action for regulators, supervisors, and auditors. The Article follows the tenor of macro- and micro-prudential banking regulation, which has raised market discipline to a new level through the implementation of regulatory disclosure standards in the context of the Basel III amendment, with a deliberate clustering of the research area according to risk types. By identifying research gaps and conceptualizing a research agenda, this paper continues to serve the academia to broaden the research field of risk disclosure, especially for banks.Source Type:Article1