Kenfack Zangue, RenaudRenaudKenfack ZangueGogineni, SonikaSonikaGogineniGeisert, ClaudioClaudioGeisert2024-10-232024-10-232024https://publica.fraunhofer.de/handle/publica/47790810.35199/dfx2024.21Integrating 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.ensmart product service systemsdigital twinMBSEsmart servicesdevelopment methodologyconference paper