Innovation

Assembly in Transition

Assembly in Transition

Empirical results of digitalization
Mathias König ORCID Icon, Herwig Winkler ORCID Icon
Assembly is an important part of industrial production and is also characterized by a high proportion of manual work. Manufacturing companies have an intrinsic interest in increasing personnel productivity and preventing unit labor costs from rising. Many thus hope to gain economic benefits by implementing digitalization projects. The potential of digitalization in assembly must be exploited to achieve these goals.
Industry 4.0 Science | Volume 41 | 2025 | Edition 1 | Pages 42-49
Computer Use in Industrial Business Processes

Computer Use in Industrial Business Processes

A systematic literature review of the last 40 years
Norbert Gronau ORCID Icon
The most important value-adding industrial business processes are product creation and order processing. For 40 years now, Industry 4.0 Science and its predecessor titles have supported the development and implementation of the software used in these industrial business processes. In honor of the journal’s 40th anniversary, a systematic literature review is carried out to identify trends that played a role in the past but no longer do today. The research provides some surprising insights into the topics that have been important in the last 40 years – as well as those that will remain relevant in the future.
Industry 4.0 Science | Volume 41 | 2025 | Edition 1 | Pages 8-14 | DOI 10.30844/I4SE.25.1.8
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
Introduction of Machine Learning in Production

Introduction of Machine Learning in Production

An SME-specific, holistic guide
Manuel Savadogo, Malte Stonis ORCID Icon, Peter Nyhuis ORCID Icon
Machine learning offers a wide range of potential, especially in production, and is therefore becoming increasingly important. However, small and medium-sized businesses are lacking guidelines that are specifically tailored to their individual challenges to guide them step-by-step through the process. In conjunction with a potential analysis, the determination of relevant prerequisites and a maturity assessment, this article can serve as a guide for SMEs.
Industry 4.0 Science | Volume 40 | 2024 | Edition 6 | Pages 88-95
Can Artificial Intelligence (AI) Act as an Enabler for Industry 4.0 (4IR)?

Can Artificial Intelligence (AI) Act as an Enabler for Industry 4.0 (4IR)?

Impacts on the maturity level of Industry 4.0 technologies
Dennis Richter, Mildred Doe, Steffen Kinkel ORCID Icon
Artificial intelligence is often mentioned often mentioned in the same context as Industry 4.0, but the exact role of AI is unclear. Is AI just another 4IR technology or an essential "enabler" for other 4IR technologies? Six experts assess the impact of AI on 41 4IR technologies. AI could indeed be a decisive factor in unleashing the full potential of Industry 4.0.
Industry 4.0 Science | Volume 40 | 2024 | Edition 6 | Pages 80-87 | DOI 10.30844/I4SE.24.6.80
Large Language Models (LLM) in Production

Large Language Models (LLM) in Production

An analysis of the potential for transforming production processes in modern factories
Pius Finkel ORCID Icon, Peter Wurster ORCID Icon, Robin Radler
The rapid development of generative artificial intelligence is opening up new avenues for the manufacturing industry amid a shortage of skilled workers. Large language models can potentially make production processes in medium- sized businesses more efficient. But how exactly is this potential measured? Key areas of application such as communication, training and knowledge management show why a lot depends on employee acceptance.
Industry 4.0 Science | Volume 40 | 2024 | Edition 6 | Pages 48-55 | DOI 10.30844/I4SE.24.6.48
Parameter Optimization for a Brine Injector

Parameter Optimization for a Brine Injector

Development of an AI pipeline using an example from the meat industry
Tim Zeiser ORCID Icon, Theo Lutz ORCID Icon, Corinna Köters ORCID Icon, Maik Schürmeyer, Alexander Prange ORCID Icon
The production of cooked ham involves a number of challenges. In production, cuts of meat are put through in a multi-stage curing and cooking process involving brine. This can lead to fluctuations in quality due to structural defects in the meat. The result: the brine is not optimally absorbed. An AI model trained on historical data intends to solve the problem.
Industry 4.0 Science | Volume 40 | 2024 | Edition 6 | Pages 40-46
From Pixels to Presence

From Pixels to Presence

Transforming remote interactions with telepresence robots
Angelika C. Bullinger ORCID Icon, Danny Rueffert ORCID Icon, Francisco Hernandez ORCID Icon, Holger Hoffmann ORCID Icon
Telepresence Robots (TPR) support the ongoing digital transformation in work and leisure amid climate and societal changes. This article presents two cases, one set in production and one in social participation, to illustrate users’ requirements, which largely coincide. Key requirements include audio and camera quality, a stable Wi-Fi connection, active and passive visual capabilities, and even floor covering.
Industry 4.0 Science | Volume 40 | Edition 5 | Pages 18-25 | DOI 10.30844/I4SD.24.5.18
Cognitive Assistance Systems in Intralogistics

Cognitive Assistance Systems in Intralogistics

User studies with augmented reality and an AI chatbot
Hendrik Stern ORCID Icon, Michael Freitag ORCID Icon
Assistance systems improve work processes, shorten learning times and increase flexibility in the workplace. Human-centered, resilient and sustainable production approaches where user acceptance is of the utmost importance play a crucial role in the digitized Industry 5.0. Two user studies investigate how useful the support of technologies like augmented reality and AI chat actually is. In the context of cognitive assistance systems in intralogistics, artificial intelligence and augmented reality have a great potential and can contribute to an improvement in process performance. The usability of these systems in terms of human-centricity of Industry 5.0 is crucial. This article describes the results and findings of two user studies conducted in the laboratory for intralogistics work processes (picking and packing). The assistance systems used were evaluated using the System Usability Scale.   Cognitive assistance systems in intralogistics Assistance systems make a ...
Industry 4.0 Science | Volume 40 | 2024 | Edition 5 | Pages 67-72 | DOI 10.30844/I4SE.24.5.66
Turning in Circles

Turning in Circles

Exploiting the potential of circular economy in wind turbine operations
Sebastian Schlund ORCID Icon, Stefanie Eisl
The decarbonization of the energy sector is crucial for a climate-neutral EU, as a large proportion of greenhouse gas emissions come from energy use. Especially the wind energy sector, with its high material costs, faces major challenges. The rapid expansion of wind energy requires innovative solutions to establish sustainable End-of-Life (EoL) management practices. A digital decision-making framework for sustainable EoL strategies is therefore extremely useful.
Industry 4.0 Science | Volume 40 | 2024 | Edition 5 | Pages 90-98 | DOI 10.30844/I4SE.24.5.90
1 2 3 4 9