Training

A closer look at the population pyramid shows the ongoing demographic change. The number of employees that are due to retire on account of their advanced age will increase significantly in the next years. Without further actions the knowledge and practical expertise of these experienced employees will no longer be available in the company. The preservation of the practical knowledge by the integration of digital media in an industrial production environment is subject of the article and is verified by the learning factory of the chair of production systems.

The sustainable implementation of efficient processes requires a corporate culture that ensures continuous optimization. In order to achieve this level of operational excellence employees’ capabilities must be developed with regard to the identification and active pursuit of improvements. For this purpose, lean management principles and tools have to be implemented at all hierarchy levels (lean thinking). In many instances, learning factories have proved to be an appropriate platform to support this process of transformation. For the first time in Germany, this concept has now been transferred to the process industry with its special requirements by realizing a learning factory within a pharmaceutical company. The procedure of planning and deploying this industry-specific learning environment with the identified success factors are discussed in this paper.

Demanding challenges arise through interactions of demographic development and change of modern working life in an industry 4.0., especially for enterprises of the production and logistics sector. While facing rapidly changing technologies and demographic homogenous personnel, they are requested to ensure that the required knowledge and the necessary competences are constantly recallable. A demographic-sensitive, operational competence management (ABEKO) plays a major role.

The term Industry 4.0 has changed from a fashionable issue to a serious research and future-topic in industrial production. Research organisations work on sophisticated technologies and concepts to implement this fourth industrial revolution, research grants are provided generously and model factories get decorated. However, many companies still cannot understand the term industry 4.0 and the related consequences on their own business. Especially small and medium sized enterprises have not understood the benefits. For that reason the currently existing learning factory at the institute of industrial management and innovation research at Graz University of Technology is enlarged to an industry 4.0 learning factory. The concept behind is the object of this article.

Researchers and decision-makers in global logistics are constantly communicating and co-operating across disciplinary and cultural borders. Therefore, doctoral candidates in logistics need to learn and practice skills to cope with multi-dimensional diversity in their working environment. We present a dynamically evolving structured doctoral training programme offered to early stage researchers who are affiliated with the International Graduate School for Dynamics in Logistics in the Research Cluster LogDynamics at the University of Bremen.

As a result of continuously increasing economic constraints for the producing sector in Germany due to competitors from low-wage countries, production paradigms are changing substantially. This paradigm shift is characterized by rapidly advancing automation processes. Hence, highly complex Cyber-Physical Production Systems (CPPS) are developed and put into practice. In combination with decreasing numbers of staff and the resulting loss of knowledge, this leads to a deficit of competence required to handle the increasing complexity of CPPS. As a result, a need for innovative assistance systems arises for the support of the remaining employees. The given article describes the challenges and problems and drafts a potential technical solution as well as challenges concerning organization and staff.

As a consequence of globalized markets product development and engineering functions increasingly work in globally distributed teams. To overcome challenges of global engineering processes, leading companies employ IT applications for storing knowledge centrally and accessing it locally. Typical IT applications however are not sufficient for engineer-to-order products, i.e. products that are engineered and built to the particular specifications of a customer. This paper explores on the example of a large elevator manufacturer how knowledge-intensive tasks can be coordinated and executed globally, efficiently combining the distinct capabilities of distributed engineering sites.

Small and medium enterprises (SME) in Germany are in a good mood. More than 90 % of the SMEs are in an appropriate economic situation reports the Bundesverband mittelständische Wirtschaft (BVMW). About 38 % of these companies expect a higher turnover in 2014 [1]. But there is one real problem the companies are faced with: the lack of skilled labour.

In order to improve action-oriented trainings, in this paper an approach for results-based evaluation by using evaluation tasks is presented. Thus weaknesses of current programs can be identified and trainings can be continuously improved.

Learning factories in Germany concentrate on the two classic aspects of production: Optimization of production processes (lean management) as well as the efficient use of resources. The learning factory of the chair of production systems at Ruhr-University Bochum considers also the topic management and organization of labour to convey competences in the field of co-determination. In cooperation between the faculty of mechanical engineering and social sciences as well as the office of cooperation RUB/IMU different learning factory exercises have been developed, which impart this learning factory a special significance.