Augmented Reality

Digital Assistance and Learning Systems

Digital Assistance and Learning Systems

Design of Systems for Manual Assembly Conducive to Learning
Tina Haase, Dirk Berndt, Wilhelm Termath, Michael Dick
The authors present a methodological approach for designing assistance systems conducive to learning and derive requirements for their design. They base the design of these systems on a fundamental understanding of the cooperation between humans and machines, which still places decisions and responsibility with humans. Finally, the authors show concrete requirements and measures of a participatory design and implementation process.
Industrie 4.0 Management | Volume 38 | 2022 | Edition 2 | Pages 19-22
Supporting Maintenance and Service Operations at LNG

Supporting Maintenance and Service Operations at LNG

Human-centered development and evaluation of an AR-assistance system
Hendrik Stern ORCID Icon, Michael Freitag ORCID Icon, Michael Lütjen ORCID Icon, Rieke Leder
The use of LNG propulsion in ships has significant environmental benefits but also creates chal- lenges in handling. Due to safety regulations, the maintenance of the LNG ship systems requires a high degree of reliability and accuracy. Thus, this paper deals with the development and evaluation of an AR-assistance system. The system based on an Android smartphone enables users to access maintenance instructions and manuals and supports the work process step by step through context-sensitive virtualizations. Its evaluation was conducted as a combined quantitative and qualitative user study.
Industrie 4.0 Management | Volume 38 | 2022 | Edition 2 | Pages 6-10
Assistance Systems Through Natural Language Processing

Assistance Systems Through Natural Language Processing

Implementation strategies for the shop floor
Marvin Müller, Joachim Metternich
The future of shop floor management (SFM) lies in its digitization. The visualization of key performance indicators is already supported by various providers or set up by companies themselves to save time. But particularly valuable in SFM is the sustainable problem solving, which contains the knowledge of the employees in text. Therefore, approaches from Natural Language Processing (NLP) are applied to these text data to realize assistance functions. This article provides situation-specific implementation strategies.
Industrie 4.0 Management | Volume 37 | 2021 | Edition 6 | Pages 11-14 | DOI 10.30844/I40M_21-6_S11-14
Digital Assistance Systems in Technical Service

Digital Assistance Systems in Technical Service

An Empirical Consideration of the Introduction of Digital Assistance Systems
Hendrik Lager, Tobias Wienzek ORCID Icon, Sebastian Sanski
Companies, especially SMEs, face the challenge of introducing digital technologies efficiently and as smoothly as possible. Using the introduction of a digital assistance system in technical service as an example, this article shows which challenges and problem areas arise, how they can be overcome and which factors promote a successful introduction process. In the process it is worked out how SMEs with few resources can generate a high degree of participation and acceptance. The basis is a socio-technical understanding that takes a holistic view of the overall system of people, technology and organization in the introduction process of digital technologies.
Industrie 4.0 Management | Volume 37 | 2021 | Edition 6 | Pages 57-61
Socio-Technical Learning System at the Workplace

Socio-Technical Learning System at the Workplace

Enhancement of Employee Competence through Socio-Technical Assistance Systems for Flexible Use at the Workplace
Holger Dander ORCID Icon, Patrick Adler, Gerd Witt
The complexity of manual activities in different areas of a company is increasing due to smaller batch sizes, higher product variants and shorter product life cycles. The balanced provision of information ensures shorter training times, higher acceptance among employees and can be used directly at the workplace. For system implementation, organizational factors must also be considered in accordance of a socio-technical system design.
Industrie 4.0 Management | Volume 37 | 2021 | Edition 6 | Pages 47-51 | DOI 10.30844/I40M_21-6_S47-51
Human-Centered Assistance Systems

Human-Centered Assistance Systems

Systematic evaluation of assembly assistance systems
Dennis Keiser, Christoph Petzoldt, Thies Beinke, Michael Freitag ORCID Icon, Henning Vogler
The employee remains a key productivity element in industrial assembly. Assembly assistance systems have therefore become an integral part of employee support. This paper presents a novel assistance system that complements process-related assistance with human-centered functionalities. In addition, an approach for the systematic evaluation of assembly assistance systems is presented in this paper. The research is based on an evaluation of the current state of the art through systematic market analysis of available assembly assistance systems.
Industrie 4.0 Management | Volume 37 | 2021 | Edition 3 | Pages 11-15
Industrial Maintenance via Remote Technologies

Industrial Maintenance via Remote Technologies

An Overview of the Current Use of Technologies in Practice
Katrin Wieczorek, Javad Ghofrani, Laura Seiffert, Robert Pampuch, Dirk Reichelt
The level of networking and complexity in intelligent manufacturing is constantly increasing. As a result, the demands on employees are growing, especially due to changing work tasks. In addition, the existing lack of skilled workers leads to bottlenecks. The use of remote technologies opens up new opportunities for collaboration, especially in maintenance. Considering the challenges of industrial maintenance, to what extent can remote technologies be used to efficiently meet these demands? This article provides an overview of the remote technologies currently used and discussed in practice and research. In addition, it shows which prerequisites must be created for an effective application of the technologies.
Industrie 4.0 Management | Volume 36 | 2020 | Edition 6 | Pages 59-64
Transparency in Intralogistic Processes

Transparency in Intralogistic Processes

Franziska Baumgärtel, Luise Weißflog, Ralph Riedel ORCID Icon
With industry 4.0 technologies the new demands on production companies can be made manageable. The most common issue is the lack of transparency and efficient structure in intralogistics processes. In various projects of the Mittelstand 4.0 Kompetenzzentrum Chemnitz the use of Auto-ID and assistance systems has shown how this deficiency can be remedied. In one of these a local company improves its transparency and reduced the intralogistic search effort by 20 %.
Industrie 4.0 Management | Volume 36 | 2020 | Edition 5 | Pages 20-24
Learning with Assistance Systems

Learning with Assistance Systems

Not Seeing the Process for the Tasks?
Gergana Vladova, Philip Wotschack, Patricia de Paiva Lareiro, Norbert Gronau ORCID Icon, Christof Thim
The paper describes the conception and implementation as well as offers an insight into the first results of a study with experimental design in a simulated process environment at the Research and Application Center Industry 4.0 in Potsdam. The focus is on learning processes in the field of simple work and their organization through the use of digital assistance systems. In labour research, there are indications that process knowledge is lost with the use of these systems, in the sense of a good knowledge of the entire work process in which the individual activities are embedded. To investigate the role of process knowledge in the use of digital assistance systems, a real factory situation is simulated in the experiment.
Industrie 4.0 Management | Volume 36 | 2020 | Edition 3 | Pages 16-20 | DOI 10.30844/I40M_20-3_S16-20
Continuing Education with Digital Assistance Systems

Continuing Education with Digital Assistance Systems

Axel Friedewald, Robert Rost, Nikolaj Meluzov, Hermann Lödding ORCID Icon
The paper describes a modular, AR-based assistance system that guides the user through a maintenance task by displaying components and meta-information step by step. By supplementing a learning success control, the system can also be used for continuing education of service technicians and operating personnel. Special emphasis was placed on an integrated information system that allows maintenance information and training tasks to be created with little effort and at the same learning and work tasks to be teached on the systems used in practice.
Industrie 4.0 Management | Volume 36 | 2020 | Edition 3 | Pages 7-10
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