Developing Digital Twins for Smart Product-Service Systems: A Methodical Approach Demonstrated with a Fuel Cell Use Case
DS 133: Proceedings of the 35th Symposium Design for X (DFX2024)
Year: 2024
Editor: Dieter Krause; Kristin Paetzold-Byhain; Sandro Wartzack
Author: Renaud Kenfack; Sonika Gogineni; Claudio Geisert
Series: DfX
Institution: Fraunhofer Institute for Production Systems and Design technology IPK
Page(s): 202-211
DOI number: 10.35199/dfx2024.21
Abstract
Integrating digital technologies into traditional products
and services is revolutionizing various industries. Smart product-service systems (SPSS) combine smart products with
data-driven services with, enhancing benefits for companies. Digital twins (DT) offer a promising approach to further enhance the value creation of SPSS, enabling observation, analysis,
visualization, simulation, interaction, and integration throughout the entire product lifecycle. Existing literature lacks methodolo-gies for SPSS that integrate DT. This paper addresses this re-search gap by proposing a methodology, applying a model-based systems engineering approach, as emphasized in the literature on DT and SPSS. Its effectiveness was demonstrated through the development of an SPSS for a fuel cell system.
Keywords: Smart Product-Service Systems, Digital Twin, MBSE, Smart Ser-vices, Development Methodology