Dimensional Variation Analysis is a systematic methodology in manufacturing engineering that identifies, quantifies, and controls geometric deviations in assembled components by analyzing spatial inconsistencies across design, process, and measurement data to ensure conformance to specified tolerances.
181
Publications
8K
Citations
490
Authors
190
Institutions
Publications per year
2017–2026
42
Parents
Publications
181
1–5 of 181
Authors
490
- DC
12
h-index
- JS
9
h-index
- ZK
7
h-index
- SJ
7
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- JA
7
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1–5 of 490
Institutions
190
University of Michigan
Ann Arbor, United States
17 h-index
52 publications
3.3K citations
University of Wisconsin–Madison
Madison, United States
13 h-index
22 publications
1.5K citations
Chalmers University of Technology
Gothenburg, Sweden
7 h-index
25 publications
739 citations
Massachusetts Institute of Technology
Cambridge, United States
6 h-index
10 publications
334 citations
Fraunhofer Chalmers Research Centre for Industrial Mathematics
Gothenburg, Sweden
6 h-index
15 publications
405 citations
University of Warwick
Coventry, United Kingdom
5 h-index
8 publications
201 citations
University of Massachusetts Dartmouth
North Dartmouth, United States
5 h-index
6 publications
255 citations
Shanghai Jiao Tong University
Shanghai, China
5 h-index
16 publications
400 citations
1–8 of 190
Venues
- Journal of Manufacturing Science and Engineering
15 publications · 967 citations
14
h-index
- Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture
10 publications · 315 citations
10
h-index
- Procedia CIRP
6 publications · 222 citations
6
h-index
- International Journal of Machine Tools and Manufacture
5 publications · 119 citations
5
h-index
- International Journal of Production Research
5 publications · 172 citations
5
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1–5