Examples of AI-based Assistance Systems in context of Model-Based Systems Engineering

Schrader, Elena; Bernijazov, Ruslan; Foullois, Marc; Hillebrand, Michael; Kaiser, Lydia; Dumitrescu, Roman

doi:10.1109/isse54508.2022.10005487

Cited by 2 publications

(1 citation statement)

References 12 publications

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“…Multi-agent systems [14,15] enhance decision-making through the collaboration of independent agents with diverse expertise. Artificial Intelligence [16,17] supports the automation of complex and decision-intensive tasks [18][19][20] and, by that, can improve engineering and operation of production systems. Digital twins [21,22] unify access to digital models of physical assets and enable, inter alia, real-time monitoring and predicting system behavior.…”

Section: Introductionmentioning

confidence: 99%

Impediments and Requirements for ICT Technology Adoption in Special Machinery Engineering and Its Impact on Sustainability

Legat,

Schöler,

Kottre

2023

Preprint

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Special machinery engineering is of great importance to the manufacturing industry and makes a comparatively large contribution to many economies. Digital transformation is already well advanced in many producing industries, and modern ICT technologies such as agents, service orientation, digital twins and artificial intelligence are being used with increasing success. In addition to improving specific product characteristics such as reliability or flexibility, the adoption of modern ICT technologies to ensure sustainability is being intensively discussed. So far, however, there has been little uptake of these technologies in the special machinery industry; sustainability receives little attention. This article examines in detail the reasons for and impediments to the adoption of modern ICT technologies based on a study among special machinery manufacturers. Observations of existing challenges were gathered during daily work, described in detail, and used to derive conclusions about causal barriers. From this, detailed requirements are derived to promote the adoption of modern ICT technologies in the special machinery engineering sector and, ultimately, to bring sustainability more into focus.

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Section: Introductionmentioning

confidence: 99%

Impediments and Requirements for ICT Technology Adoption in Special Machinery Engineering and Its Impact on Sustainability

Legat,

Schöler,

Kottre

2023

Preprint

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AI Systems Modeling Enhancer (AI‐SME): Initial Investigations into a ChatGPT‐enabled MBSE Modeling Assistant

Johns,

Carroll,

Medina

et al. 2024

INCOSE International Symp

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As artificial intelligence (AI) becomes integral across industries, there is a growing opportunity to transform the generation of models for systems engineering. This research investigates the integration of OpenAI's GPT‐4 Turbo into CATIA Magic for Model‐Based Systems Engineering (MBSE), resulting in the creation of AI Systems Modeling Enhancer (AI‐SME). This study explores the comparison between models generated by AI, specifically OpenAI's GPT, and those crafted by human systems engineers. While recognizing challenges in AI‐generated models, this research underscores the potential of AI assistants to enhance the speed and accuracy of SysML model creation. Results demonstrate AI‐SME's successes in generating requirements, block definition diagrams, and internal block diagrams. Despite identified limitations such as redundancy and lack of cohesiveness in AI‐generated models, the study concludes that AI‐SME represents a notable advancement in AI‐assisted systems engineering.

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Examples of AI-based Assistance Systems in context of Model-Based Systems Engineering

Cited by 2 publications

References 12 publications

Impediments and Requirements for ICT Technology Adoption in Special Machinery Engineering and Its Impact on Sustainability

Impediments and Requirements for ICT Technology Adoption in Special Machinery Engineering and Its Impact on Sustainability

AI Systems Modeling Enhancer (AI‐SME): Initial Investigations into a ChatGPT‐enabled MBSE Modeling Assistant

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