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Assistance systems are being used increasingly in the context of digital transformation. They can support employees in industrial production processes both in the learning phase and in the active work phase. In this way, competencies can be built up in a way that is close to the workplace and the process as well as demand-oriented. This paper discusses the current state of research on the possible applications of these assistance systems and illustrates them with examples. Among other things, the current challenges are also highlighted. At the end of the paper, focal points for the future development of AI in industrial learning processes and research on this are identified.

Digitalization and the possibility to use big data give companies the opportunity to establish hybrid business models. This enables them to offer customers smart services in addition to their physical products, create more value and strengthen their competitiveness. The hybridization goes along with new competence requirements, which need to be shaped. In the AnGeWaNt project, hybrid business models were developed and implemented in three companies. This article describes the approach to analyze new competence requirements and how to build up new skills for a successful hybridization

Automatization and Digitalization are keywords regarding innovative assembly of Smart Factories. Despite all, no Smart Factory is able to produce completely without blue color workers. To stay competitive in the global world companies they need to find the balance to hire only as less employees as possible to guarantee all assembly processes. Therefore, Labor Efficiency is the key figure to control attendance and output. This article explains the role of labor efficiency with regards to the Smart Factory. For this purpose, the input factors attendance and output are explained and illustrated by practical examples. Moreover, it explains how labor efficiency can influence competitiveness positively.

This paper focuses on the investigation of current technical challenges in the context of industrial Virtual Reality (VR)-based training applications. This paper analyzes the current state of the art of industrial VR applications and provides a structured overview of the existing technical challenges. The identified challenges are discussed based on an industrial training scenario for the safe handling of electrical components.

The market for technical services is currently undergoing a transformation that is having an impact on the business models and structures of companies in this market. This change also has consequences for the specialists at technical service providers: In addition to new technical knowledge, they have to communicate more with customers and partners in particular. These interactions are not always free of conflict and can become stressful for employees. The article shows examples of how technical service companies can improve the interaction situation of their employees with organizational measures.

Learning factories offer the possibility to plan, execute and analyze the knowledge imparted in theory on realistic industrial systems. This article analyzes the potential of developing and operating a learning factory in a virtual environment. For this purpose, institutions with learning factories are surveyed regarding the challenges and desires in the operation of learning factories and the mentioned aspects are discussed with regard to their representability in Virtual Reality. The result shows that Virtual Reality positively influences a large part of the aspects and has a high potential to solve current challenges in the establishment and operation of learning factories.

An important element for companies to deal with the demands of the world of work is the continuous and needs-specific further training of employees. The possibility of learning close to the workplace has a major role to play here.

The authors present a methodological approach for designing assistance systems conducive to learning and derive requirements for their design. They base the design of these systems on a fundamental understanding of the cooperation between humans and machines, which still places decisions and responsibility with humans. Finally, the authors show concrete requirements and measures of a participatory design and implementation process.

The ongoing digital transformation is changing work and production environments of companies. In addition, a demand-oriented development and efficient use of employee skills are becoming ever more important for success. Thus, there is a need for new decentralized and situationally adaptable solutions that enable self-organized learning paths and informal competence development. This paper presents challenges of collaborative competence development and solutions for IT-supported self-organized learning paths at different organizational levels and shows project examples from the textile industry.

Initiated by the digitalization, the organization of production and employees are subject to change. Innovative and digitized formats should be integrated into existing training programs. Therefore, suitable and target group-specific teaching/learning formats are needed that support participative methods and digital collaboration. For this purpose, a digital teaching and learning format for the application area of automotive engineering in SMEs was designed. This prototypical teaching/learning format was created and evaluated in an iterative process through the participation of the potential. The results show that the test subjects mainly refer to the usability criteria of DIN ISO 9241-110. Recommendations for the creation of future digital teaching and learning formats for SMEs are derived from these findings.