Automation

Work-Integrated Learning in Industry 4.0

Work-Integrated Learning in Industry 4.0

A qualitative analysis of various assistance systems in assembly
Kathleen Warnhoff ORCID Icon
In the era of Industry 4.0, many industrial companies are facing major transformations. In the process of digitalization, factory management is adopting new technologies such as cognitive assistance systems, which has led to changes in work processes. Regarding assembly in the metal and electrical industries, it is unclear to what extent this development has promoted work-integrated learning. Therefore, the topic of this paper is a qualitative analysis that explores employees' perceptions of the learning opportunities and risks presented by cognitive assistance systems. Results: Not all assembly employees benefit equally from these new developments.
Industry 4.0 Science | Volume 41 | Edition 2 | Pages 20-29 | DOI 10.30844/I4SE.25.2.20
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
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
Intelligent Shopfloor Assistants

Intelligent Shopfloor Assistants

Increasing productivity through the use of generative AI
Eckart Uhlmann ORCID Icon, Julian Polte ORCID Icon, Christopher Mühlich ORCID Icon, Yassin Elsir
In modern production companies, a heterogeneous IT landscape often complicates day-to-day work. A promising antidote is the use of intelligent agents, which use generative AI for routine tasks and can therefore increase efficiency. Whether these intelligent systems can be successfully integrated into existing networks determines whether the flow of information can be improved and manual effort reduced.
Industry 4.0 Science | Volume 40 | 2024 | Edition 6 | Pages 64-71
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
Digital Transformation and Serious Gaming

Digital Transformation and Serious Gaming

Identifying success factors for smart factories
Maria Freese ORCID Icon, Melanie Kessler ORCID Icon, Julia Arlinghaus ORCID Icon, Eike Maaß
Digital technologies are crucial for the competitiveness and innovative capacity of industry. While Industry 4.0 strives for greater efficiency through the intelligent networking of people, machines and information systems, the concept of Industry 5.0 focuses on people—and defines their well-being and identification capabilities as crucial to the success of digitalization. An analysis of their success factors can only help.
Industry 4.0 Science | Volume 40 | 2024 | Edition 5 | Pages 114-121 | DOI 10.30844/I4SE.24.5.114
Risk Management in Automated Warehouse Planning

Risk Management in Automated Warehouse Planning

Development and use of a knowledge-based, generic Warehouse FMEA
Harald Augustin ORCID Icon, Gabriel Mičić ORCID Icon
The planning and implementation of automated warehouses is characterized by high investments and risks. The FMEA (Failure Mode and Effects Analysis) currently used to reduce risks requires a great deal of effort to conduct, as it has deficits in terms of design and implementation support. These deficits include a predominant focus on the process view without linking this to the design FMEA for automation objects, an insufficient structure for the use of similar repetitive processes and technologies, a lack of automated, parameterized generation of activities, failures and causes, and a lack of integrated test scenario derivation. These deficits lead to unrecognized failures and increase the effort required to carry out the FMEA and develop test scenarios. In this article, we present a generic FMEA model which, among other things, is able to access extensive practical data in the form of knowledge bases and thus resolve the aforementioned deficits.
Industry 4.0 Science | Volume 40 | 2024 | Edition 3 | Pages 41-46
The Utopia of European Cybersecurity Certifications

The Utopia of European Cybersecurity Certifications

Alexander Lawall ORCID Icon, Jesus Luna Garcia
Interoperable automation can benefit cybersecurity certification processes that result from the EU Cybersecurity Act (e.g. EUCS) so that they represent less overhead for the stakeholders involved. The development of key standardization efforts involving relevant stakeholders (e.g. regulators) is needed to fully realize these benefits. EU projects like H2020 MEDINA, HEU COBALT and communities such as EUROSCAL are well on the way to achieving this goal. However, more practical experience is needed to make continuous certification with automation a reality.
Industry 4.0 Science | Volume 40 | 2024 | Edition 2 | Pages 48-55
Warehouse Inventory Detection with Airship Drones

Warehouse Inventory Detection with Airship Drones

(Semi-)autonomous aircraft for inventory and quality inspection of pallets in block storage facilities
Dmitrij Boger, Michael Freitag ORCID Icon, Britta Hilt, Michael Lütjen ORCID Icon, Benjamin Staar ORCID Icon
The complex dynamics of block warehouses pose major challenges to the manual stocktaking process. Frequent relocation of pallets, crates or pallet cages without fixed storage locations leads to a time-consuming and error-prone inventory process, wherein goods often have to be searched for and damages due to improper storage can occur. The use of (semi-)autonomous drones offers a promising solution to enable automated stocktaking, especially if these are appropriately equipped for optical goods detection.
Industry 4.0 Science | Volume 40 | 2024 | Edition 2 | Pages 56-63
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