Technologie: Training

The Green Factory Bavaria is a research project, in which a platform at several locations in Bavaria is developed, in order to increase the resource efficiency in manufacturing companies. The platform shall serve as research-, demonstration- and training purposes. In Augsburg a process chain was developed, which consists of an additive manufacturing step, a cleaning and a packaging step. The research foci of those areas as well as the training concept are going to be presented in this article.

Economy, enterprises and employees are sustainably affected by digital transformation. The new opportunities of education and training to evaluate learner behavior digitally are of particular interest. Learning analytics can be used for specific optimization of learning forms and content for the benefit of learners and of the training company.

Today data processing becomes more and more complex concerning the amount of data to be processed, the data dimension and correlation and the relationship between derived information and inputdata. This is the case especially in sensing and measuring processes. Measuring uncertainties, calibration errors, and unreliability of sensors have a significant impact on the derivation quality of suitable information. In the technical and industrial context the raising complexity and distribution of data processing is a special issue. Commonly, information is derived from raw input data by using some kind of mathematical model and functions, but often being incomplete. If reasoning of system states is primarily desired, Machine Learning can be an alternative. Tradionally, sensor data is acquired and delivered to and processed by a central processing unit. In this paper, the deployment of distributed Machine Learning using mobile Agents forming self-organizing systems is discussed and posing the ...

Lifelong learning is an elementary part of the knowledge society and of high importance for industries and societies facing digitization (Industry 4.0). This comprises individual opportunities for the employees as well as competitive advantages for companies. Two concrete solutions for textile and clothing industry will be presented here: on the one hand a sector wide offer for vocational training and on the other hand an adaptable IT based learning method enabling learning in the workplace. Both solutions show cutting edge concepts, technologies and didactic.

In order to deal successfully with the increasing complexity of production systems, the deve-lopment of system and problem-solving competencies is increasingly important. This paper presents an innovative learning concept that combines “on-the-job” student training with company training: „Multi real - multi-perspective learning in a real production factory“. Especially the company’s role and benefits are described.

As the digitization of production processes advances, it influences many areas. In addition to the intra corporate structures and inter enterprise supply chains, it even has an impact on social structures. The progress includes the whole range of changes from the digitization of production processes to their data-driven optimization using intelligent feedback processes. In the end it will result in the combination of the real world with the digital world. To build up this digitization of the value chains, the human relations departments, the forms of communication and cooperation as well as the process management have to change. But to be successful on the way of digitization, new skills are necessary. To obtain these skills, the forms and techniques of the qualification acquisition need to be adapted.

The renaissance of learning at the workplace is a result of the digitization of the world of work and related new working and organizational concepts. Vocational education and training, previously dominated by seminars and training courses, changes radically in favor of learning in the work process. Will the fourth industrial revolution enhance this development? Research and development are only at the beginning, yet first answers are emerging.

The article deals with competences for the implementation of the Industrial Internet whose further development is rather open. Statements on competences are made in the context of extreme scenarios. Concrete requirements depend on combinations of technology and organization which companies choose. So, an - supported - adaptable continuing training is important in which employees learn to carry out changing tasks in the actual work process. The article points to training forms which support competence development for digitalization of industry.

The digital cross-linking of production environments is proceeding. Within this, the qualification requirements for the employees increase. Companies and employees can cope with this by creating and applying customized vocational training concepts. Goal of this article is to introduce an approach and a corresponding procedure model to capture framework conditions as well to configure and design context-sensitive qualification measures within a company.

The increase of complexity in the field of production due to “Industrie 4.0” causes also a rapid increase of the complexity of tasks on the shopfloor level. Thus, efficient methods for the systematic identification of the competence deficits of the employees as well as new forms of knowledge management for an adequate administration of knowledge have to be established.