Technologie: Information and Communications Technology

Quiz: Manufacturing in Space

Quiz: Manufacturing in Space

Test your knowledge!
Weightless production—just science fiction or already reality? Thanks to new space technologies, the first production processes are now emerging in space that enable materials and structures to be created that are virtually impossible to manufacture on Earth. From ultra-pure fibers to 3D printing of organs, weightlessness is opening up completely new perspectives for industries—and bringing space manufacturing closer to the present than many people think.
Human-Centered AI-Paired Work Systems

Human-Centered AI-Paired Work Systems

Integrating GenAI and the human factor in work system theory
Katharina Hölzle ORCID Icon, Udo-Ernst Haner
The work system is the key unit of analysis within the discipline of human factors/ergonomics (HFE); it is also considered a fundamental element for value creation within other domains. Its concept is based on sociotechnical systems theory and, within HFE, it conveys a distinctly human-centered perspective. So far, work system models have focused on one or several people working within a defined setting as the only (intelligent) actors within the system. The introduction of generative artificial intelligence (genAI) into work systems, particularly as an intelligent and autonomous actor (agent) with potentially specific social abilities and personality traits, calls for reconceptualization. This article elaborates on the new requirements related to the introduction of genAI and develops a human-centered AI-paired work system model that recognizes the significantly expanded capabilities of AI-enabled collaborative social robots.
Industry 4.0 Science | Volume 41 | 2025 | Edition 5 | Pages 38-48 | DOI 10.30844/I4SE.25.5.38
Increasing Resilience in Logistics with IT

Increasing Resilience in Logistics with IT

Investigating supply chain risk management information systems
Alexander Baur, Jasmin Hauser, Dieter Uckelmann ORCID Icon
The blockage of the Suez Canal in 2021, caused by the accident involving the container ship Ever Given, clearly illustrates the need to design global supply chains in such a way that they can respond quickly to disruptions. In a volatile, uncertain, complex, and ambiguous (VUCA) environment, conventional logistics processes that focus on efficiency, and supply chain management methods in particular, are increasingly reaching their limits. Resilience, achieved through a combination of robustness and agility, is essential to ensure responsiveness. This article analyzes how risk management information systems (RMIS) can increase resilience. The analysis covers data availability, data transparency, modeling and simulation of risk scenarios, and the development of appropriate emergency action plans. Despite existing challenges in designing IT infrastructure, the measures mentioned have the potential to increase resilience in logistics.
Industry 4.0 Science | Volume 41 | Edition 4 | Pages 36-42
Digital Twins for Production and Logistics Systems

Digital Twins for Production and Logistics Systems

Challenges and focus areas in implementation and use
Deike Gliem ORCID Icon, Nicolas Wittine ORCID Icon, Sigrid Wenzel ORCID Icon
For a successful implementation as well as sustainable use and maintenance of digital twins for production and logistics systems, it is necessary to identify relevant use cases and master the associated challenges. This paper analyzes scientific literature on common applications and challenges in the implementation of digital twins for the planning and operation of production and logistics systems. To confirm the practical relevance of the results, the results of an empirical survey have also been included. The findings are used to derive key focus areas for the successful implementation and long-term use of digital twins in production and logistics.
Industry 4.0 Science | Volume 41 | 2025 | Edition 3 | Pages 42-49 | DOI 10.30844/I4SE.25.3.42
STAG — Bridging Data from Shop Floor to IT World

STAG — Bridging Data from Shop Floor to IT World

An automated mapping approach for improved access to shop floor data
Oliver Amft ORCID Icon, Dovydas Girdvainis ORCID Icon, Christoph Rathfelder ORCID Icon
Collecting data from different sources on the shop floor and making it accessible to different IT systems is one of the core tasks during the process of factory digitization. Due to the different protocols and interfaces, the data collection task comes with unique challenges. With the Sensor Technology Adapter Gateway (STAG), we present a solution that closes the gap between the shop floor and the IT system’s backend. STAG is an industry-grade middleware that automates translations between data models and protocols.
Industry 4.0 Science | Volume 41 | Edition 3 | Pages 14-22 | DOI 10.30844/I4SE.25.3.14
Hybrid Learning Landscapes for Technical Concepts

Hybrid Learning Landscapes for Technical Concepts

The digitalization of training via practical concepts and targeted networking
Sebastian Anselmann ORCID Icon, Jessica Wädt, Uwe Faßhauer ORCID Icon
The Länder- und Phasenübergreifende Interface (LPI) (engl. Cross-Regional and Cross-Phase Interface) promotes the sustainable digitalization of vocational and technical education through the systematic provision of expertise and innovative networking formats. The focus is on hybrid learning landscapes (HLL), which interlink physical and digital learning spaces to create individualized, practical learning environments. Innovative approaches such as learning factories, VR/AR and learning analytics are integrated.
Industry 4.0 Science | Volume 41 | Edition 3 | Pages 126-132
Intelligent Load Carrier Management

Intelligent Load Carrier Management

AI-supported monitoring and reduction of losses in logistics
Dominik Augenstein, Lea Basler
Load carriers are essential for transporting manufactured parts in manufacturing companies. Despite their ‘simplicity’, they are usually expensive to purchase as they are manufactured expressly to fit purpose. While tracking methods such as GPS tracking can be used to prevent the loss of load carriers, this is associated with monitoring costs and presents challenges with regard to data protection as soon as the work performance of intralogistics employees is monitored. Assigning load carriers to designated clusters and monitoring these clusters provides an effective solution—without drawing conclusions about employee performance. Furthermore, artificial intelligence can optimize this approach whilst also deterring the theft of load carriers.
Industry 4.0 Science | Volume 41 | 2025 | Edition 2 | Pages 78-84
Distributed Application Integration in Industry

Distributed Application Integration in Industry

Employing microservices for enterprise application integration (EAI)
Jan-Peer Rudolph ORCID Icon
In line with current digital transformations, the number of software applications in use by companies is continuously increasing. This particularly affects industrial enterprises, which face challenges due to their often complex business processes. A holistic and sustainable integration of these business processes requires a strong link between the different information systems used. In this context, application integration, also known as enterprise application integration (EAI), is becoming more important. Modern approaches such as the use of microservices offer a particularly flexible and efficient solution for seamlessly connecting different applications and thus promoting the agility and scalability of a company’s IT landscape.
Industry 4.0 Science | Volume 41 | 2025 | Edition 1 | Pages 74-80
Real-time Reactions for Automated Guided Vehicles (AGV)

Real-time Reactions for Automated Guided Vehicles (AGV)

Monitoring and controlling with long latencies
Dominik Augenstein, Lea Basler
The constant advance of digitalization confronts companies with new challenges and opportunities. Immediate data processing is now ubiquitous and the advantages are obvious. However, broadband coverage in Germany is insufficient, which makes it difficult to improve processes. Mathematical approaches and machine learning enable timely optimization and smooth production.
Industry 4.0 Science | Volume 40 | 2024 | Edition 6 | Pages 56-62
Characteristic of Intelligent Objects in a Digitized Logistics

Characteristic of Intelligent Objects in a Digitized Logistics

Marcus Lewin, Alexander Fay ORCID Icon
As a result of digitization, logistics objects and systems are increasingly being equipped with information and communication technologies, which is accompanied by new functionalities. Such smart objects enable a high-resolution representation of processes within a supply chain and support their control. At the same time, the variations in the technical design and integration are increasing. For the handling of complexity, an approach for a systematic structuring of objects in logistics with regard to function, structure and dependencies is presented.
Industrie 4.0 Management | Volume 34 | 2018 | Edition 5 | Pages 21-24 | DOI 10.30844/I40M18-5_21-24