Conference Agenda

Digital twin implementation in space systems lags behind product development maturity. This study evaluates transfer potential of digital twin approaches to space systems. Expert interviews (n=12) with product development and space specialists validated literature-based solution-challenge mappings. Abstraction level moderates transferability: organizational solutions transfer readily while technical solutions require space-specific adaptations. New Space contexts show higher transfer potential. The framework enables systematic digital twin implementation prioritization for space applications.

This paper posits that a Digital Twin can be viewed as a collection of nodes and edges where nodes represent actions on/with data and edges represent the flow of data between nodes. The paper provides a schema whereby the nodes and edges can be defined and the costs and benefits can be attributed, as well as analysis techniques enabled by the schema. The potential of the schema in supporting the design of Digital Twins is then demonstrated through a worked example, in which it is shown that traditional bottom-up cost estimates significantly overestimate costs when compared with this approach.

Building and maintaining a digital twin requires considerable technical and financial effort. Thus, its economic viability depends on creating value across the full product lifecycle to balance the initial costs. Therefore, this study examines what potentials and challenges arise from the use of the Digital Twin throughout the product lifecycle with regard to its benefits for product development, using a systematic literature review. The identified factors were clustered and mapped to key components, highlighting the strengths and weaknesses of the individual components of the digital twin.

This study utilises low-cost 2D pose tracking to analyse individual technique differences in elite rowers. We established key biomechanical metrics, revealing variations linked to anthropometrics, training style and flexibility. A technique mapping tool was developed, providing objective insights that supplemented expert opinion. A pilot demonstrated the utility of this analysis to generate actionable insights for equipment personalisation. This showcases that low-cost automated methods can provide proactive and meaningful insights suitable for individualized training strategies.