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.
CITATION STYLE
Arnemann, L., Winter, S., Quernheim, N., & Schleich, B. (2023). PRODUCT LIFE CYCLE MANAGEMENT WITH DIGITAL TWINS FOR PRODUCT GENERATION DEVELOPMENT. In Proceedings of the Design Society (Vol. 3, pp. 2955–2964). Cambridge University Press. https://doi.org/10.1017/pds.2023.296
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