Training

With the industrial internet the digitization of communication processes receives a new impulse. By application of social networks within firms, the collaboration of and knowledge transfer between workers can be supported and rationalized. This paper focuses on Enterprise Social Networks and discusses the challenges and opportunities when implementing these digital communication tools. On basis of a real world case study we illustrate some good practices.

In the context of this article, a methodology for an efficient transfer of knowledge from research into industrial practice regarding cyber-physical production systems is presented. The methodology serves above all to sensitize small and medium-sized (SME) enterprises to the possible potentials of the so-called Industry 4.0. The starting point for this is the need-oriented and individual specification of knowledge required for a practical knowledge transfer and the development of tailor-made competence profiles of future employees in smart SMEs

Currently the implementation of digital technologies in response to important competition requirements is promoted in many places. Consequently, the working environment of employees in operative logistics is going to change significantly. This article provides an overview of the possible uses of future-oriented technologies in different logistics processes as well as the thereby changing subtasks and competence requirements of operative employees in the working world 4.0.

This article deals with the presentation of a concept that shows new possibilities for a holistic improvement in the company’s internal resource efficiency by using Industry 4.0. Subsequently, the structure of a resource management system will be shown. To attain a holistic improvement of the resource efficiency, the viewing frame will be extended to the whole product lifecycle to show which potentials a coupling along the entire value-added chain provides.

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.