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TY - THES AU - Stratmann, Lukas TI - Informationsmodell für Kreislaufstrategien von Investitionsgütern im Maschinen- und Anlagenbau; 1. Auflage VL - 193 PB - RWTH Aachen University VL - Dissertation CY - Aachen M1 - RWTH-2025-01752 SN - 978-3-98555-264-1 T2 - Schriftenreihe Rationalisierung SP - 1 Online-Ressource : Illustrationen PY - 2025 N1 - Druckausgabe: 2025. - Auch veröffentlicht auf dem Publikationsserver der RWTH Aachen University. - Weitere Reihe: Edition Wissenschaft Apprimus N1 - Dissertation, RWTH Aachen University, 2025 AB - In the circular economy, maintaining the value of finite and renewable resources for as long as possible is of utmost importance, ensuring their continuous circulation within the economy. Given the ongoing challenges of climate change and the European Union’s goal of achieving climate neutrality by 2050, the manufacturing industry is particularly obligated to use its capital goods more sustainably and efficiently. A key challenge faced by companies during investment decisions is the limited availability of information on used and refurbished capital goods, despite their often lower costs and more resource-efficient nature compared to new acquisitions. One approach to addressing this issue is the digital product passport. It aims to ensure seamless and efficient access to product information across the entire product lifecycle through improved digitalization. This is especially critical as current information gaps between manufacturers and users significantly hinder the implementation of circular strategies. Although digital product passports are increasingly discussed in academic research, there is a lack of clear, domain-specific definitions regarding their content. In this dissertation, a model is developed defining the required informational components throughout the lifecycle of capital goods. This provides a foundational framework for the creation of digital product passports. The first step involves identifying circular strategies applicable to capital goods in the context of digital product passports. These strategies, classified under the category of cross-company value preservation, include reuse, remanufacturing, and repurposing. A business ecosystem approach is used to describe the network involved in the lifecycle of a machine. A classification framework is proposed to outline the data requirements for a digital product passport, especially in relation to achieving sustainability goals. Key data categories include product data, usage data, network data, and sustainability data. These efforts result in the central model of this dissertation, which integrates the information entities with the ecosystem roles and defines responsibilities for providing the required data. The model’s validation was conducted through case studies with the companies Schaeffler, BMW, Reifenhäuser, and PTC, which confirmed its practical applicability. LB - PUB:(DE-HGF)11 ; PUB:(DE-HGF)3 DO - DOI:10.18154/RWTH-2025-01752 UR - https://publications.rwth-aachen.de/record/1005422 ER -