Autor: Dirk Marrenbach

Guidelines for the Fair Use of Generative AI

Guidelines for the Fair Use of Generative AI

Practical examples from production management and social welfare
Anja Gerlmaier, Paul-Fiete Kramer ORCID Icon, Dirk Marrenbach ORCID Icon, René Wenzel ORCID Icon
With the rapid spread of assistive AI tools such as ChatGPT, Gemini, and Copilot, companies are being challenged to address the opportunities and challenges of artificial intelligence. Based on two practical examples, this article provides insight into how companies can use company-specific risk and potential analyses to develop guidelines for the fair and responsible use of AI.
Industry 4.0 Science | Volume 42 | 2026 | Edition 1 | Pages 22-28 | DOI 10.30844/I4SE.26.1.22
Preventive Work Design in Digitized Industrial Systems

Preventive Work Design in Digitized Industrial Systems

A Cybernetic Design Approach using the Example of Intralogistics
Martin Braun ORCID Icon, Dirk Marrenbach ORCID Icon
In the course of digitization, the complexity and instability of business networks are considerably increasing. This has also serious effects on intralogistics. Under VUCA conditions, intralogistic systems develop into open, decentralized and self-organization networks of information-processing units. They adapt to the dynamic changes of their environment, by increasing their inner and outer varieties in a preventive manner. Digital technologies are not in a position to adequately control non-deterministic logistic systems; this task is essentially left to the working man. In order to overcome the challenges, appropriate models and methods of preventive work design are developed in the PREVILOG project. The paper presents cybernetic basics and preventive work design principles.
Industrie 4.0 Management | Volume 33 | 2017 | Edition 6 | Pages 38-42
Logistics Systems Planning

Logistics Systems Planning

Procedure models and formalization of planning knowledge
Tobias Sommer, Dirk Marrenbach ORCID Icon, Karl-Heinz Wehking
Current changes in market situations may compel companies to adapt their products, manufacturing systems, as well as logistics systems. Required planning procedures are characterized by their complexity and their interdisciplinary nature: A system that has to fulfil future requirements is designed using models, methods, and the knowledge of all involved participants. Therefore, this article aims to discuss procedure models applied in different disciplines in order to assess their usability in logistics planning projects. Furthermore, certain aspects of planning procedures are identified that require formalization of applied knowledge. Thus, an approach to apply knowledge formalization is presented.
Industrie Management | Volume 25 | 2009 | Edition 5 | Pages 57-60