Produktentstehung im Zeitalter von Industrie 4.0

Gräßler, Iris; Pöhler, Alexander

doi:10.1007/978-3-662-52903-4_23-1

Cited by 3 publications

(4 citation statements)

References 18 publications

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“…Dabei unterstützen Ansätze der modellbasierten Produktentwicklung das Variantenmanagement, indem Struktur-und Verhaltensinformationen und die Merkmale von Varianten sowie deren Abhängigkeiten und Wechselwirkungen systematisch in Systemmodellen abgebildet werden [5]. Durch eine explizite und durchgängige Verknüpfung aller Modellelemente können Inkonsistenzen in Entwicklungsdaten reduziert, Varianten gezielt konfiguriert und Ingenieure bei Entwicklungsentscheidungen der Systemarchitektur unterstützt [6,7] werden. Des Weiteren können Auswirkungen technischer Änderungen auf die Varianten [8] abgeschätzt, redundante Informationen identifiziert [6] und Systemarchitekturen für folgende Systemgenerationen wiederverwendet werden [9,10].…”

Section: Motivationunclassified

Modeling and analysis of functional variance of complex technical systems

Menninger¹,

Wiechel²,

Rackow³

et al. 2022

DS 119: Proceedings of the 33rd Symposium Design for X (DFX2022)

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Complexity of variances in systems leads to challenges in structuring and in making development decisions. Models can collect system information to make them available and transparent. Currently, no approach to model the variance of systems along relevant engineering artifacts exists. This research aims to develop a consistent variant modeling approach: In a literature review (1), relevant approaches in model-based variant management are identified to derive requirements for variant modelling (2). Based on the requirements, approaches are evaluated in a matrix (3). Since no approach satisfies all requirements, one approach is extended (4). For evaluation purpose (5), applicability of the approach is demonstrated and assessed by experts. The result is a modeling method for variant modeling.

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Section: Motivationunclassified

Modeling and analysis of functional variance of complex technical systems

Menninger¹,

Wiechel²,

Rackow³

et al. 2022

DS 119: Proceedings of the 33rd Symposium Design for X (DFX2022)

Self Cite

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“…Furthermore, by bringing together information from different areas of work, an effective communication is especially required. A common understanding that transcends disciplinary boundaries will become increasingly important if effective cooperation is to succeed (Gräßler and Pöhler 2017;Tao et al 2019).…”

Section: The Digital Twin For and Of Humansmentioning

confidence: 99%

“…This will lead to a shift of human work from performing to monitoring. In addition, the use of sensors and assistance systems to check the correct execution of work steps can easily be used for surveillance purposes (Gräßler and Pöhler 2017). In the case of inaccurate and erroneous data resulting in erroneous decisions, it will become necessary for humans to recognize these errors and be able to correct them and overrule the computer system.…”

Section: The Digital Twin For and Of Humansmentioning

confidence: 99%

“…The objectives pursued there -increasing overall quality, avoiding errors, and reducing time to market -apply here as well. This means that the human digital twin contains the human's specific tasks, their abilities, and probably such information that allows to tailor assistance systems to humans for a better job execution (Gräßler and Pöhler 2017). To capture real-time information, work activities performed by humans have to be recorded; to compare real-time data with historical data, these activities have to be stored.…”

Section: The Digital Twin For and Of Humansmentioning

confidence: 99%

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The Concept of a Digital Twin and Its Potential for Learning Organizations

Berisha-Gawlowski

Caruso

Harteis

2021

Digital Transformation of Learning Organizations

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The digital transformation of organizations in the industrial sector is primarily driven by the opportunity to increase productivity while simultaneously reducing costs through integration into a cyber-physical system. One way to fully tap the potential of a cyber-physical system is the concept of the digital twin, i.e., the real-time digital representation of machines and resources involved – including human resources. The vision of representing humans by digital twins primarily aims at increasing economic benefits. The digital twin of a human, however, cannot be designed in a similar way to that of a machine. The human digital twin shall rather enable humans to act within the cyber-physical system. It therefore offers humans a power of control and the opportunity to provide feedback. The concept of the digital twin is still in its infancy and raises many questions in particular from an educational perspective. The contribution aims at answering the following questions and refers to the example of team learning: Which and how much data should and may the digital twin contain in order to support humans in their learning? To what extent will humans be able to control and design their own learning? How may skills, experiences, and social interactions of humans be represented in the digital twin; their growth and further development, respectively? With cyber-physical systems transcending corporate, national, and legal boundaries, what learning culture will be the frame of reference for the involved organizations?

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