Virtual Reality

I4S 3/2026: Immersive Technologies in Production

I4S 3/2026: Immersive Technologies in Production

VR, AR, MR, XR: Catalysts for the next industrial revolution?
Immersive technologies are fundamentally transforming manufacturing. VR, AR, MR, and XR merge physical and digital worlds into interactive work environments. In Industry 4.0, they enable more intuitive access to planning, production, maintenance, and training. This issue of Industry 4.0 Science shows how immersive technologies are becoming a central building block of resilient, flexible, and innovative production systems.
Industrial Application of Immersive Technologies

Industrial Application of Immersive Technologies

Exploring XR solutions for training, instruction, design review, and assembly planning
Andreas Straube ORCID Icon, Faikar Zakky Haidar ORCID Icon, Matheus Lenzi dos Santos ORCID Icon, Kussai AI Jairoud ORCID Icon, Eduardo Koscianski ORCID Icon
In recent years, the decreasing cost and improved usability of immersive hardware and software have made extended reality (XR) increasingly attractive for industrial applications. Stand-alone systems with inside-out tracking and camera-based pass-through enable accessible mixed reality (MR) solutions. At the same time, emerging no-code software platforms allow engineers to create XR environments without programming expertise, broadening adoption across production settings. This paper explores key industrial application areas of immersive technologies through selected commercially available XR software solutions for product and process training, spatial instructions and guides, collaborative design review, and assembly and production planning.
Industry 4.0 Science | Volume 42 | 2026 | Edition 3 | Pages 38-47 | DOI 10.30844/I4SE.26.3.4
Digital Supply Chain Twin: The Pathway to Success

Digital Supply Chain Twin: The Pathway to Success

A catalyst for increasing competitiveness
Gökhan Cenk ORCID Icon, Jonas Andersson, Tobias Engel ORCID Icon
Companies face a variety of challenges when optimizing global supply chains. Economic interests must be balanced with legal requirements, such as the German Supply Chain Due Diligence Act (SCDDA) and the European Sustainability Reporting Standards (ESRS). A digital supply chain twin (DSCT) enables the visualization of value creation networks and supports key business functions, such as purchasing, supply chain management, distribution, service, and sales. By leveraging immersive technologies, the DSCT helps generate sustainable competitive advantages across the entire supply network.
Industry 4.0 Science | Volume 41 | 2025 | Edition 3 | Pages 52-60 | DOI 10.30844/I4SE.25.3.52
Training in the Industrial Metaverse

Training in the Industrial Metaverse

Buzzword or opportunity?
Leon Schellhammer ORCID Icon, Lucas Waag, Mert Cumert, Dieter Uckelmann ORCID Icon
Metaverse-based training programs offer a realistic and risk-free learning environment that is particularly valuable in industrial contexts, e.g. in immersive training and the simulation of workflows. Challenges remain in the areas of data protection, technological acceptance and integration into existing systems. Using a carefully crafted questionnaire, four expert interviews were conducted to investigate whether the metaverse can innovate training programs effectively and lastingly. Its standardized format yields comparable, reliable data while allowing for an accurate evaluation of the results.
Industry 4.0 Science | Volume 41 | 2025 | Edition 2 | Pages 102-108
The “InTraLab” Learning Factory

The “InTraLab” Learning Factory

Gaining experience and knowledge in digitally transformed work environments
Norbert Gronau ORCID Icon, Malte Teichmann
Learning factories offer a practical environment for simulating production processes in which learners can acquire skills through the direct application of new technologies. The Industrial Transformation Lab (InTraLab) models hybrid production processes by combining real-world demonstrators and virtual simulations. This enables learners to acquire the skills that are crucial for the digitally transformed world of work.
Industry 4.0 Science | Volume 41 | Edition 2 | Pages 46-51
Potentials and Application of the Industrial Metaverse

Potentials and Application of the Industrial Metaverse

Convergence from simulation to reality
Oliver Petrovic, Yannick Dassen, Christian Brecher
This paper deals with the concept of the Industrial Metaverse and its potential impact on the manufacturing industry. First, the possibilities of the Industrial Metaverse are explained in general and then possible resulting functionalities for production technology along the life cycle are presented. For the two topics "Synthetic Data Generation" and "Virtual Qualification" the implications of the Industrial Metaverse are considered more concretely.
Industrie 4.0 Management | Volume 39 | 2023 | Edition 5 | Pages 27-32 | DOI 10.30844/IM_23-5_27-32
Trends and Challenges in Factory Software

Trends and Challenges in Factory Software

Norbert Gronau ORCID Icon
Any networked information system that is used in the context of manufacturing and logistics in a factory can be referred to as factory software. This article describes six trends that will significantly influence the way software is used in factories in the near future. The trends are described in ascending order in terms of significance of impact.
Industry 4.0 Science | Volume 39 | 2023 | Edition 1 | Pages 114-119 | DOI 10.30844/I4SE.23.1.114
Analysis of the Characteristics of Current Learning Factories

Analysis of the Characteristics of Current Learning Factories

Virtual reality as a possible answer to topical challenges
Christoph S. Zoller, Lars Harkemper, Wladimir Rempel
Learning factories offer the possibility to plan, execute and analyze the knowledge imparted in theory on realistic industrial systems. This article analyzes the potential of developing and operating a learning factory in a virtual environment. For this purpose, institutions with learning factories are surveyed regarding the challenges and desires in the operation of learning factories and the mentioned aspects are discussed with regard to their representability in Virtual Reality. The result shows that Virtual Reality positively influences a large part of the aspects and has a high potential to solve current challenges in the establishment and operation of learning factories.
Industrie 4.0 Management | Volume 38 | 2022 | Edition 2 | Pages 33-36
Virtual Reality-Based Training in Industry

Virtual Reality-Based Training in Industry

Current Technical Requirements and Challenges
Benjamin Knoke, Moritz Quandt, Michael Freitag ORCID Icon, Klaus-Dieter Thoben ORCID Icon
This paper focuses on the investigation of current technical challenges in the context of industrial Virtual Reality (VR)-based training applications. This paper analyzes the current state of the art of industrial VR applications and provides a structured overview of the existing technical challenges. The identified challenges are discussed based on an industrial training scenario for the safe handling of electrical components.
Industrie 4.0 Management | Volume 38 | 2022 | Edition 2 | Pages 45-48
Knowledge Based Validation of Virtual Products

Knowledge Based Validation of Virtual Products

Christoph Schäfer, Axel Friedewald, Hermann Lödding ORCID Icon
Technologies such as Digital Mock Up (DMU) or Virtual Reality (VR) help to expose and fix design errors at an early stage in the product development process. Nevertheless the discovery of these potential problems is still a common obstacle. The approach introduced within this paper improves the existing virtual product validation method by using the company’s existing knowledge of former projects. The DMU-Cockpit integrates the usually spread experience of known errors in one tool by modelling a relation between classified components and sources of error in a matrix. This allows the automatic selection of potential sources of error for a chosen part and derives the most valuable validation tasks of the knowledge base.
Industrie Management | Volume 28 | 2012 | Edition 3 | Pages 61-64
1 2