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33 Prozent aller Unternehmen glauben, den Anschluss an Künstliche Intelligenz (KI) zu verlieren. Obwohl KI auf den ersten Blick eine Herausforderung darstellt, kann sie vor allem im Unternehmenskontext eine bedeutende Rolle spielen. Genau da setzt das Programm "KI-Serviceroadmap 2024" des FIR an und zeigt Ihnen den Weg zu KI im Service auf. Das Programm beginnt für alle teilnehmenden Unternehmen mit einem umfassenden Assessment und mündet in der Entwicklung einer detaillierten Roadmap mit Ihrem individuellen Weg zu KI.
Auch unter Einsatz KI-basierter Technologien bleibt der Mensch ein wichtiger Bestandteil produzierender Unternehmen. Dabei stehen insbesondere kleine und mittlere Unternehmen (KMU) vor der Herausforderung, die Implementierung von Digitalisierungskonzepten und innovativer Technik nicht nur effizient, sondern auch menschengerecht zu gestalten. Deshalb ist es wichtig, regionale Unternehmen bei der Digitalisierung zu unterstützen sowie entsprechende Qualifizierungs- und Schulungsmaßnahmen bereitzustellen. Mit diesem Ziel ist im Oktober 2021 das interdisziplinäre Verbundprojekt ‚AKzentE4.0 – Arbeitswissenschaftliches Kompetenzzentrum für Erwerbsarbeit in der Industrie 4.0‘ mit einer Laufzeit von fünf Jahren gestartet. Die Grundlage für das Kompetenzzentrum bildet eine Bedarfsanalyse, die bereits die Unterstützungsanforderungen sowie erste Bedenken der Unternehmen in Bezug auf innovative Technik abbildete. Um die Ergebnisse des Projekts nachhaltig zu verstetigen, soll das daraus resultierende Kompetenzzentrum als regionale Anlaufstelle für Wissen und Vernetzung dienen.
Digital technologies have gained significant importance in the course of the 4th Industrial Revolution and these technologies are widely implemented, nowadays. However, it is necessary to bear in mind that an ill-considered use can quickly have a negative impact on the environment in which the technology is used. For more responsible and sustainable use, the regulation of digital technologies is therefore necessary today. Since the government is taking a very slow response, as the example of the AI Act shows, companies need to take action themselves today. In this context, one of the central questions for companies is: "Which digital technologies are relevant for manufacturing companies in terms of regulation? This paper conducted a quantitative Delphi study to answer this question. The results of the Delphi study are presented and evaluated within the framework of a data analysis. In addition, it will be discussed how to proceed with the results so that manufacturing companies can benefit from them. Furthermore, the paper contributes to the development of an AI platform in the German research project PAIRS by investigating the compliance relevance of artificial intelligence applications.
Digitization is constantly affecting the working world and is of enormous interest in many fields of science. But to what extent are innovative technologies actually being applied in regional SMEs and what are the obstacles to their introduction? From a psychological point of view, it is essential to consider the employee's health and the effects of innovative technologies on their everyday work. The aim of using innovative technologies should not be to completely replace human labor or to dequalify employees, but to relieve the workforce and free up working time for more meaningful activities. One concept that should be included in the human-centered design of human-machine interaction in artificial intelligence is the HAI-MMI concept (Huchler, 2020), which offers starting points for high-quality collaboration at various levels. To reduce the gap between science and industry, this paper focuses on the actual demands of SME in the Aachen region in Germany referring to a requirements analysis within the research project AKzentE4.0 (N = 50 SME) and discusses how appropriate innovative technologies of the Industry 4.0 and AI can be implemented and deployed in a human-centred way. Moreover, the establishment of a Human Factors Competence Center for Employment in Industry 4.0 is outlined, which is meant to be used for the dissemination of research results from the project and should narrow the gap between science and industry in the long run.
The shop floor is a dynamic environment, where disturbances to the production plan occur. While there are many tools to support production planning, production control is left unsupported in handling disruptions.The aim of the Cluster of Excellence is to develop an application to support the production controller in his decision process to identify and evaluate the right countermeasures. In this abstract, we present the concept for the application.
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