Training

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.

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 difference between Open and Closed Innovation is that external partners can get actively involved in all stages of the value added process and are not limited to being mere idea generators. Whilst finding solutions for their own problems and needs, creative individuals or groups of individuals can play an active role in the development of innovative products featuring new functional and design elements. In addition, Open Innovation provides further benefits in the field of image building and innovation marketing.

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.