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Towards Sustainability Modelling with Attribute Dependency Graphs - A Case Study on Industrial Robots

Philipp Schröder, Akhil Sathuluri, Klemens Hohnbaum, Markus Mörtl, Markus Zimmermann


Type:
Year:
2025
Editor:
Ali A. Yassine, Christopher Langner, Matthias Kreimeyer, Tyson R. Browning, Steven D. Eppinger
Author:
Series:
DSM
Institution:
Technical University of Munich, TUM School of Engineering and Design, Laboratory for Product Development and Lightweight Design, Germany
Page(s):
61-69
DOI number:
Abstract:
The need to understand the ecological impact of industrial processes is increasing. While compliance with regulations is essential, identifying key influencing attributes remains challenging due to their interconnected and multidisciplinary nature. Lifecycle Assessment (LCA) aids in mapping product-related processes and identifying phases with significant ecological impact but often does not provide actionable design measures. This highlights the necessity for complementary modeling approaches that support the derivation of design insights. In this work, we utilize so-called Attribute Dependency Graphs (ADGs) as a modelling language connecting detailed component-level design with product-level sustainability metrics. Using an industrial robot as a case study, we demonstrate (1) the use of ADGs to bridge sustainability criteria with quantitative design details, (2) a modular approach for modelling multidisciplinary properties, and (3) a practical example of their application in an industrial context.
Keywords:

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