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PRODUCT LIFE CYCLE MANAGEMENT WITH DIGITAL TWINS FOR PRODUCT GENERATION DEVELOPMENT

Published online by Cambridge University Press:  19 June 2023

Lars Arnemann ,
Sven Winter ,
Niklas Quernheim  and
Benjamin Schleich
Lars Arnemann*
Affiliation:
Product Life Cycle Management (PLCM), TU Darmstadt
Sven Winter
Affiliation:
Product Life Cycle Management (PLCM), TU Darmstadt
Niklas Quernheim
Affiliation:
Product Life Cycle Management (PLCM), TU Darmstadt
Benjamin Schleich
Affiliation:
Product Life Cycle Management (PLCM), TU Darmstadt
*
Arnemann, Lars, TU Darmstadt, Germany, [email protected]

Abstract

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Digital Twins are virtual representations of a product-service-instance and, as a technology, represent an important part of the realization of Industry 4.0. They manage data of the associat-ed product instance and can also have functions for simulation to achieve cost and resource savings while simultaneously increasing product quality. In this paper, a need for action for the implementation of a systematic approach for the returning of data of Digital Twins into the product design is identified and a methodology is developed as an answer. This methodology realizes an information management, which supports holistic data and information flows. It de-fines necessary steps for the implementation of data and information transport, starting from a data management up to information provision in product design. Based on a performed potential analysis for the identification of intended uses in the context of product design, the overall ap-plication focus is narrowed down to the development of new product generations to support the requirements development. The concept structure consists of Digital Twins, a data mining sys-tem for the transformation of data into information and a presentation system for managing the information provided.

Keywords

Product Lifecycle Management (PLM)Design engineeringDesign methods
Type
Article
Information
Proceedings of the Design Society , Volume 3: ICED23 , July 2023 , pp. 2955 - 2964
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2023. Published by Cambridge University Press

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