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2024
Conference Paper
Title
Developing Digital Twins for Smart Product-Service Systems:A Methodical Approach Demonstrated with a Fuel Cell Use Case
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.
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.
Conference