Systematic literature review—effects of PSS on sustainability based on use case assessments T Blüher, T Riedelsheimer, S Gogineni, A Klemichen, R Stark Sustainability 12 (17), 6989, 2020 | 57 | 2020 |
Methodology to develop Digital Twins for energy efficient customizable IoT-Products T Riedelsheimer, S Gogineni, R Stark Procedia CIRP 98, 258-263, 2021 | 46 | 2021 |
User centered development of a Digital Twin concept with focus on sustainability in the clothing industry T Riedelsheimer, L Dorfhuber, R Stark Procedia CIRP 90, 660-665, 2020 | 44 | 2020 |
Digital twin readiness assessment T Riedelsheimer, P Lünnemann, S Wehking, L Dorfhuber Eine Studie zum Digitalen Zwilling in der fertigenden Industrie, 2020 | 22 | 2020 |
Pathways for sustainable technology development–The case of bicycle mobility in Berlin P Gausemeier, J Seidel, T Riedelsheimer, G Seliger Procedia CIRP 26, 202-207, 2015 | 20 | 2015 |
Empowering end-of-life vehicle decision making with cross-company data exchange and data sovereignty via Catena-X J Mügge, J Grosse Erdmann, T Riedelsheimer, MM Manoury, SO Smolka, ... Sustainability 15 (9), 7187, 2023 | 19 | 2023 |
Systematic product development methodology for customizable IoT devices SK Gogineni, T Riedelsheimer, R Stark Procedia CIRP 84, 393-399, 2019 | 17 | 2019 |
Progress for life cycle sustainability assessment by means of digital lifecycle twins—A taxonomy T Riedelsheimer, S Neugebauer, K Lindow EcoDesign and Sustainability II: Social Perspectives and Sustainability …, 2021 | 16 | 2021 |
Project-Based Learning in Engineering Education–Developing Digital Twins in A Case Study L Hagedorn, T Riedelsheimer, R Stark Proceedings of the Design Society 3, 2975-2984, 2023 | 9 | 2023 |
Enabling automated engineering’s project progress measurement by using data flow models and digital twins H Ebel, T Riedelsheimer, R Stark International Journal of Engineering Business Management 13, 18479790211033697, 2021 | 9 | 2021 |
End-of-life decision support to enable circular economy in the automotive industry based on digital twin data J Mügge, IR Hahn, T Riedelsheimer, J Chatzis, J Boes Procedia CIRP 119, 1071-1077, 2023 | 8 | 2023 |
Feedback to design with digital lifecycle-twins: literature review and concept presentation T Riedelsheimer, K Lindow, R Stark Design for X: Beiträge zum 29, 203-214, 2018 | 8 | 2018 |
Systematic Literature Review—Effects of PSS on Sustainability Based on Use Case Assessments. Sustainability, 12 (17), 6989 T Blüher, T Riedelsheimer, S Gogineni, A Klemichen, R Stark | 7 | 2020 |
Digital Twins for Circular Economy-Enabling Decision Support for R-Strategies J Mügge, IR Hahn, T Riedelsheimer, J Chatzis | 6 | 2022 |
Betrachtung des Entwicklungsumfeldes durch die methodische Datenflussanalyse K Lindow, T Riedelsheimer, P Lünnemann, R Stark ProStep iVip 2, 52-56, 2017 | 6 | 2017 |
Sustainable product lifecycle management with Digital Twins: A systematic literature review A Seegrün, T Kruschke, J Mügge, L Hardinghaus, T Knauf, ... Procedia CIRP 119, 776-781, 2023 | 4 | 2023 |
Digital twins for sustainability in the context of biological transformation A Seegrün, J Mügge, T Riedelsheimer, K Lindow Global Conference on Sustainable Manufacturing, 576-584, 2022 | 2 | 2022 |
Biological Transformation in process simulation for enhancing ecological sustainability indicators V König, M Berkhahn, T Riedelsheimer, D Plakhotnik, M Stautner Procedia CIRP 110, 53-58, 2022 | 2 | 2022 |
From process to activity in the data flow P Lünnemann, T Riedelsheimer, S Wehking, K Lindow | 2 | 2019 |
Taxonomy for Biological Transformation principles in the manufacturing industry M Berkhahn, G Kremer, T Riedelsheimer, K Lindow, R Stark Global Conference on Sustainable Manufacturing, 981-989, 2022 | 1 | 2022 |