| Abstract: |
Machine manufacturers have collect data related to their products within different formats and tools already for years. Today, these data constitute Digital Twins (DT), which can be seen as enablers for new service opportunities and ecosystem collaboration. The number of DTs increases continuously, as for example modern factory consists of different production machines, which all might have their individual DTs and in the operative environment might be multiple DTs. Thus, need for seamless integration of individual machine DTs arises, semantic transformations needed, and gaining useful information from DTs arises. Ongoing study investigate what are the business benefits from multiple DTs and how to develop next generation industrial services based on the available DT data of the smart connected machines.
This study is a part of an international project focused on researching the new service opportunities provided by the DT concept in several industrial use cases. The empirical data is gathered by semi-structured interviews with use case company practitioners, which research organization facilitated workshops developed further. Several workshops were conducted to map the service processes of the use cases in three ecosystems in Finland, Turkey and the Netherlands. Literature findings and benchmarking studies enriches the empirical findings. Within the study, research will focus on the two main research questions: 1) How Digital Twin can boost value creation in industrial product-service lifecycle, and 2) Which kind of business models are needed in future digitalized industrial context.
There is a continuously growing volume, complexity, and strategic importance of data in manufacturing industry. Therefore, manufacturers need to create DT based services together with selected strategic partners. The multiple DT requires new kind of collaboration between manufacturers and SW providers to consolidate data collection, aggregation and analytics for making data and insights available across functions and business units. Realization of multiple DT in practice, new performance and value-based revenue models can be formed. Therefore, new earning logics and pricing models within the DT based services should be innovated. The services based on the DT should be developed according the logical steps. DT have enabler role, but still customers do not fully understand the DT based services in practice. Study have identified new forms of collaboration and combined earnings for ecosystem members. In the future, towards the Industrial Metaverse, new ecosystems will arise and new kind of operative digital tools will come to realize multiple DTs in modern manufacturing environments.
This study increases the understanding of multiple DT business benefits and service business innovations for manufacturing industries by further developing previous conceptual framework for service development and management. As a result, study propose new service business development model and methods to support collaborative businesses based on the utilization of DT for the entire lifecycle of the systems. |