Details

Autor(en) / Beteiligte

• Woitsch, Robert
• Sumereder, Anna
• Falcioni, Damiano

Titel

Model-based data integration along the product & service life cycle supported by digital twinning

Ist Teil von

• Computers in industry, 2022-09, Vol.140, p.103648, Article 103648

Ort / Verlag

Elsevier B.V

Erscheinungsjahr

2022

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• Currently, a mega-trend on digitization and servitization using digital technologies and digital twins to support digital (business) transformation can be observed. In literature, emerging digital technologies are considered as an enabler for the creation of additional value, the strengthening of the customer relationship, and as an accelerator of the servitization process in manufacturing. The introduction of such technologies may result in adaptations of the product & service life cycle as well as the business model. A generic product & service life cycle consisting of four phases – design, simulation, manufacturing, and usage of products and services – serves as a foundation for the integration of digital technologies and related data. It can be observed that there is a gap with respect to data integration between the manufacturing and the usage of products and services. A model-based approach including digital twinning is applied to bridge this gap and to show how data can be integrated along the product & service life cycle. The conceptual approach of such a model-based digital twin environment is presented in form of a meta model. To depict how the integration could be eased and guided in manufacturing, findings of the European project Change2Twin, where a digital twin is established for a paint production pilot, are introduced. This industrial manufacturing pilot was supported by production process models. Additionally, a physical experiment was created to raise awareness for the challenges of digitization and servitization. •Physical experiments and digital twins are seen as cornerstone for integrating data along the product and service life cycle.•Real-time monitoring and simulation are considered to improve the life cycle management of product and service systems.•Digital twins allow the integration and consideration of holistic perspectives ranging from business to digital aspects.•Companies with low digitization and servitization levels can apply digital twins of organizations for developments.