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Artificial intelligence for engineering design analysis and manufacturing is a peer-reviewed journal published by Cambridge University Press, covering Design Education and Practice, Manufacturing Process and Optimization, Product Development and Customization.
| Publisher | Cambridge University Press |
|---|---|
| Reference style | Numbered Numbered — [1], [2] in the text [1] A. Smith, B. Jones, and C. Lee, A representative article title, Artificial intelligence for engineering design analysis and manufacturing 12 (2023) 45–58.
Formats any DOI in the closest standard style — Artificial intelligence for engineering design analysis and manufacturing has no published style definition, so this is an approximation. No sign-up. |
| Publishes research in | Design Education and Practice Manufacturing Process and Optimization Product Development and Customization Diverse Scientific and Economic Studies BIM and Construction Integration |
| ISSN | 0890-0604 |
| Citation impact (2-yr) | 3.19 |
| h-index | 70 |
| i10-index | 568 |
| Total citations | 23,908 |
| Top institutions publishing here | Carnegie Mellon University |
| Journal website | journals.cambridge.org |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
In an effort to improve customization for today's highly competitive global marketplace, many companies are utilizing product families and platform-based product development to increase variety, shorten lead times, and reduce costs. The key to a successful product family is the product platform from which it is derived either by adding, removing, or substituting one or…
Abstract The relative significance of conceptual design to basic design or detail design is widely recognized, due to its influential roles in determining the product's fundamental features and development costs. Although there are some general methodologies dealing with functions in design, virtually no commercial CAD systems can support functional design, in particular so-called synthetic phase…
Inspiration is useful for exploration and discovery of new solution spaces. Systems in natural and artificial worlds and their functionality are seen as rich sources of inspiration for idea generation. However, unlike in the artificial domain where existing systems are often used for inspiration, those from the natural domain are rarely used in a systematic…
Abstract This work is aimed at establishing a common frame and understanding of function modeling (FM) for our ongoing research activities. A comparative review of the literature is performed to grasp the various FM approaches with their commonalities and differences. The relations of FM with the research fields of artificial intelligence, design theory, and maintenance…
This paper describes the task/episode accumulation model (TEA model) of non-routine mechanical design, which was developed after detailed analysis of the audio and video protocols of five mechanical designers. The model is able to explain the behavior of designers at a much finer level of detail than previous models. The key features of the model…
