A computational approach to identifying engineering design problems

Simple item page
dc.contributor.authorObieke, Chijioke C.
dc.contributor.authorMilisavljevic-Syed, Jelena
dc.contributor.authorSilva, Arlindo
dc.contributor.authorHan, Ji
dc.date.accessioned2023-01-11T13:36:14Z
dc.date.available2023-01-11T13:36:14Z
dc.date.issued2023-01-09
dc.description.abstractIdentifying new problems and providing solutions are necessary tasks for design engineers at early-stage product design and development. A new problem fosters innovative and inventive solutions. Hence, it is expected that engineering design pedagogy and practice should equally focus on engineering design problem-exploring (EDPE)—a process of identifying or coming up with a new problem or need at the early-stage of design, and engineering design problem-solving (EDPS)—a process of developing engineering design solutions to a given problem. However, studies suggest that EDPE is scarcely practiced or given attention to in academia and industry, unlike EDPS. The aim of this paper is to investigate the EDPE process for any information relating to its scarce practice in academia and industry. This is to explore how emerging technologies could support the process. Natural models and phenomena that explain the EDPE process are investigated, including the “rational” and “garbage can” models, and associated challenges identified. A computational framework that mimics the natural EDPE process is presented. The framework is based on Markovian model and computational technologies, including machine learning. A case study is conducted with a sample size of 43 participants drawn worldwide from the engineering design community in academia and industry. The case study result shows that the first-of-its-kind computational EDPE framework presented in this paper supports both novice and experienced design engineers in EDPE.en_UK
dc.identifier.citationObieke CC, Milisavljevic-Syed J, Silva A, Han J. (2023) A computational approach to identifying engineering design problems, Journal of Mechanical Design, Volume 145, Issue 4, April 2023, Article number MD-22-1382en_UK
dc.identifier.eissn1528-9001
dc.identifier.issn1050-0472
dc.identifier.urihttps://doi.org/10.1115/1.4056496
dc.identifier.urihttps://asmedigitalcollection.asme.org/mechanicaldesign/article-abstract/145/4/041405/1154773/A-Computational-Approach-to-Identifying
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/18929
dc.language.isoenen_UK
dc.publisherAmerican Society of Mechanical Engineers (ASME)en_UK
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectartificial intelligenceen_UK
dc.subjectcomputer-aided designen_UK
dc.subjectconceptual designen_UK
dc.subjectcreativity and concept generationen_UK
dc.subjectdata-driven designen_UK
dc.titleA computational approach to identifying engineering design problemsen_UK
dc.typeArticleen_UK

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Identifying engineering design problems-2023.pdf
Size:
6.05 MB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.63 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Staff publications (SATM)