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.

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.

Today’s in-house training faces the challenge an increasing demand for work expertise against the background of a continuing reduction of staff. This paper describes how companies can meet these challenges supported by a technology-enhanced approach. A central part of the solution is an intelligent-adaptive learning system that allows employees to create learning media while solving operational challenges and, at a later time to access these media, adapted to their individual needs. The article outlines the main human, technical and organizational requirements that an integration of such an adaptive digital learning and assistance system into a company faces.

Industrial work 4.0 challenges workers due to ambiguity, self-organization, and interconnec-tedness. To qualify workers to successfully cope with these challenges, this article introduces the software-based situational learning factory that is completed like a flight simulator. By playing these so called serious games that simulate situations on the shop floor of varying complexity, employees gain experiential knowledge and improve their IT-skills.

The technological and demographic change in the automotive industry leads to challenges for competence management. Increasing requirements with regard to professional and methodological competencies, combined with shortened innovation cycles, demand an increasing flexibility in employee trainings. The research project PLUG+LEARN aims at the development of reconfigurable solutions in competence development. Competencies along the automotive value chain are pooled in order to achieve a wide application of the results. This enables an effective cooperation between the actors of the PLUG+LEARN market place.