Instandhaltungs- und Servicemanagement
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Item Towards trustworthy usage of indoor positioning data in manufacturing simulation(2025) Mieth, Carina; Meyer, AnneThe usage of data from Indoor Positioning Systems (IPSs) within manufacturing simulation presents both challenges and opportunities. This dissertation explores the potential applications of IPS in manufacturing and focuses on utilizing IPS data for simulation studies. The research systematically gathers and organizes use cases through a structured literature review, revealing a significant yet largely unexplored potential for IPS in manufacturing by highlighting manifold benefits beyond mere localization. Additionally, on-the-ground examination of IPS applications in a sheet-metal manufacturing environment reveals associated challenges, particularly ethical and technical dimensions, underscoring the necessity of examining the trustworthiness of IPS data usage. A framework is developed to enrich IPS data for simulation parameterization and input modeling, tailored for the sheet metal industry. The framework addresses the absence of directly applicable standards by refining existing data models and standards, providing a structured approach transferable to similar industries and discrete production systems. A qualitative analysis demonstrates the framework’s potential to enhance data quality in manufacturing simulation across various dimensions, highlighting the spatio-temporal nature of IPS data as an untapped resource. Furthermore, an ex-ante trustworthiness assessment of the framework is conducted using the Z-Inspection® process, identifying ethical issues and tensions associated with IPS-based simulation systems in manufacturing. Recommendations for improving trustworthiness are gathered, advocating for responsible and ethical development and deployment of IPS in the simulation framework. The findings contribute to enhancing ethical considerations in manufacturing simulation, with implications for industry practice and future research. The dissertation identifies future research directions in advancing data modeling and analysis techniques, standardizing trustworthiness assessment processes, and quantifying and ensuring the trustworthiness of IPS-based simulation systems.Item Innovationen in der Instandhaltung - Digitale Transformation im Fokus(2024-08) Eichholz, Jonas; Schrage, Tobias; Karabulut, Diyar; Behrning, Lenz; Wortmann, CarolineItem Status Quo plattformbasierter Wertschöpfung im deutschen Maschinen- und Anlagenbau(2022-08-08) Eichholz, Jonas; Hefft, Daniel; Kreyenborg, Alexander; Kiklhorn, David; Wolny, Michael; Azkan, Can; Graefenstein, Julian; Bistritz, Ralf; van Deursen, Britt; Wagner, Stefan; Lorei, Julia; Kurpicz, Bernhard; Hahn, Marcel