KI-Net: AI-Based Optimization in Industrial Manufacturing—A Project Overview

Freudenthaler, Bernhard; Martinez‐Gil, Jorge; Fensel, Anna; Höfig, Kai; Huber, Stefan; Jacob, Dirk

doi:10.1007/978-3-031-25312-6_65

Cited by 2 publications

(2 citation statements)

References 8 publications

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“…This growing interest revolves around the exploration of how AI systems can complement human abilities rather than replace them. Numerous studies have delved into different aspects of human-AI collaboration, including the design of intelligent systems [13], the development of new interaction paradigms [14], and the evaluation of the usefulness of these approaches in realworld scenarios [15].…”

Section: Related Workmentioning

confidence: 99%

Multi-Stakeholder Perspective on Human-AI Collaboration in Industry 5.0

Hoch,

Martinez-Gil,

Pichler

et al. 2023

Artificial Intelligence in Manufacturing

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AI has gained significant traction in manufacturing, offering tremendous potential for enhancing production efficiency, cost reduction, and safety improvements. Consequently, developing AI-based software platforms that facilitate collaboration between human operators and AI services is crucial. However, integrating the different stakeholder perspectives into a common framework is a complex process that requires careful consideration. Our research has focused on identifying the individual relevance of varying quality characteristics per stakeholder toward such a software platform. Therefore, this work proposes an overview on the vital success factors related to human-AI teaming that can be used to measure fulfillment.

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Section: Related Workmentioning

confidence: 99%

Multi-Stakeholder Perspective on Human-AI Collaboration in Industry 5.0

Hoch,

Martinez-Gil,

Pichler

et al. 2023

Artificial Intelligence in Manufacturing

Self Cite

View full text Add to dashboard Cite

show abstract

“…The industrial landscape has been revolutionized by the emergence of collaborative paradigms between human-machine systems, such as the Internet of Things (IoT), Internet of Services (IoS), and Cyber-Physical Systems (CPS), resulting in the socalled Industry 5.0. This has led to a shift in focus toward enhancing collaboration between humans and machines [13]. The creation and connection of newly available devices generate enormous data with significant potential value, which can be used to extend the product's life cycle, on-demand manufacturing, resource optimization, machine maintenance, and other logistical arrangements [8].…”

Section: Antecedents and Motivationmentioning

confidence: 99%

Examining the Adoption of Knowledge Graphs in the Manufacturing Industry: A Comprehensive Review

Martinez-Gil,

Hoch,

Pichler

et al. 2023

Artificial Intelligence in Manufacturing

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The integration of Knowledge Graphs (KGs) in the manufacturing industry can significantly enhance the efficiency and flexibility of production lines and improve product quality. By integrating and contextualizing information about devices, equipment, production resources, location, usage, and related data, KGs can be a powerful operational tool. Moreover, KGs can contribute to the intelligence of manufacturing processes by providing insights into the complex and competitive manufacturing landscape. This research work presents a comprehensive analysis of the current trends utilizing KG in the manufacturing sector. We provide an overview of the state of the art in KG applications in manufacturing and highlight the critical issues that need to be addressed to enable a successful implementation. Our research aims to contribute to advancing KG technology in manufacturing and realizing its full potential to enhance manufacturing operations and competitiveness.

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KI-Net: AI-Based Optimization in Industrial Manufacturing—A Project Overview

Cited by 2 publications

References 8 publications

Multi-Stakeholder Perspective on Human-AI Collaboration in Industry 5.0

Multi-Stakeholder Perspective on Human-AI Collaboration in Industry 5.0

Examining the Adoption of Knowledge Graphs in the Manufacturing Industry: A Comprehensive Review

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