Industrie 4.0

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 requirements of industrial production have drastically changed in the past. Mass production has been the predominant approach for decades, but there is a growing demand for individualized goods. In particular, small and medium-sized enterprises (SME) deal with small lot sizes and even single-item production. These companies have very demanding requirements for robot deployment. Programming robots must be time efficient and not require specific expertise in robotics, so that shop floor workers can use them. In this article, we introduce a knowledge-based approach to address these issues.

Future factories in digitized industries will require highly versatile automation systems. Seamless human-robot collaboration, utilizing the strengths of both, combined with advanced machine perception and automated planning are key factors for success in a world of “mass customized” products and increasingly faster product changes. Two examples, in welding and assembly, show advanced planning, sensing and human-robot collaboration technologies and discuss their benefits.

Industry 4.0 is one of the most frequently used term - in context to improved productivity, flexibility and securing the standard of living in Germany and Europe. In spite of the various initiatives that primarily focus on the formulation of the technical requirements, there is currently no common understanding in terms of content and implementation. With the goal to estimate the degree of implementation and define future potential projects, this article defines a comprehensive and pragmatic rating system. Based on industrial studies and individual professional experiences, various criteria are captured and used. There are already two use case demonstrations in real industrial applications.

In hardly any other sector have the production conditions changed so rapidly in recent years as they have in the automotive industry: An increasing variety of models, greater variety, greater segmentation and the increasingly international nature of automobile production require efficient supplier plants with greater production depth. Suppliers who want to compete therefore have to continuously and flexibly adapt their processes to the dynamics of the major manufacturers. At the forefront of this is the company IT: From this it is expected that more and more formerly analogous processes will be reproduced digitally. But digitization is only possible with great knowledge of the industry and individually tailored solutions.

By digital transformation the German SME sector is faced with huge challenges. It also turns existing corporate processes upside down. 82 percent of the managers who were interviewed for a recent survey expect that the internal communication will accelerate significantly. Four out of five are convinced that the transfer of knowledge will play a key role. Three quarters are also convinced that it is necessary that IT and other departments close ranks. Business-simulations effectively support the required transformation process. Topic of this article is to show how they can help changing the attitude and perspective to generate sustainable value from Industry 4.0.

The development of industry 4.0 concepts in production and logistics has progressed rapidly in recent years. The systems being affected by rapid technological changes, such as the introduction of Cyber-Physical Systems (CPS). The realization of CPS requires interdisciplinary considerations of mechanical engineering, electrical engineering, information and business management. The full potential of industry 4.0 can only be deployed, when in addition to technical challenges also business opportunities are involved in the development. The aim of this paper is to show specific requirements for development of CPS systems and to identify approaches for Cyber-Physical Product-Service Systems (CPSS).

The world’s rising energy and raw material costs are a reason for many companies to reduce energy and resource waste in their own production. Based on this plan, the Federal Ministry of Education and Research (BMBF) initiated in 2009 the project EnHiPro. Until May, 2012 the Technische Universität Braunschweig and three other research partners developed a system to make the energy demand of machines tangible by utilizing smart metering strategies. For the analysis and visualization of the energy flows, the c4c Engineering company was brought into the team in order to engineer the EnyFlow app that makes the energy flows and states of machines transparent on an tablet PC.