Training

As Industry 4.0 and artificial intelligence reshape organizational capabilities, traditional training systems struggle to keep pace with evolving skill requirements. This paper introduces Trendiation—a structured methodology for translating emerging trends into actionable strategies—as a systematic approach to this challenge. Through a workshop-based application examining Edutainment, Human-Centered Design, and Workforce Transformation, we demonstrate how organizations can move from abstract trend identification to concrete qualification requirements and prioritized training initiatives. The method produces a traceable artifact chain spanning trend framing, capability-gap assessment, and implementation roadmaps. Participant evaluations indicate high perceived clarity and practical utility. By bridging foresight analysis with participatory design, Trendiation enables organizations to proactively cultivate adaptive capabilities and build learning cultures aligned with future work ...

Artificial intelligence (AI) is changing the world of work. But how can work teams learn to use AI support in a way that delivers speed advantages and ensures consistently high quality? One possible approach is to test it in a workplace-like simulation. Trying it out under realistic conditions shows the role that critical thinking plays.

The EU Strategy for sustainable and circular textiles aims to reduce the industry’s environmental impact while at the same time increasing its competitiveness. In this transition towards circularity, firms in the highly fragmented textile value chains need solutions that help overcome barriers and provide support. This paper presents digital solutions that are particularly suited for SMEs and that have been developed with public funding. It aims at encouraging SMEs, not only from the textile industry, to specify their individual transition paths towards circularity and to use digitalization to foster implementation.

This paper deals with the concept of the Industrial Metaverse and its potential impact on the manufacturing industry. First, the possibilities of the Industrial Metaverse are explained in general and then possible resulting functionalities for production technology along the life cycle are presented. For the two topics "Synthetic Data Generation" and "Virtual Qualification" the implications of the Industrial Metaverse are considered more concretely.

This paper describes an analysis and design method for knowledge management integrating man and machine in the age of the 4th Industrial revolution (Industry 4.0). Digitized work p rocesses require employees in an Industry 4.0 environment to have the competence to adequately deal with fluid situations on the basis of their own knowledge and the ability to place this knowledge in situation-specific contexts. To this end, the development of a comprehensive understanding of processes is elementary.