Statistical Tolerancing is a tolerance allocation method that employs statistical principles to predict and control the variation of assembled part dimensions, differing from worst-case tolerancing by assuming dimensional deviations follow a probabilistic distribution rather than accumulating at their extreme limits.
38
Publications
1.4K
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63
Authors
41
Institutions
Publications per year
2017–2026
2
Variants
Statistical Tolerance Analysis
Parents
Publications
38
1–5 of 38
Authors
63
- DH
9
h-index
- JR
2
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- NA
2
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- JT
2
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- SWSandro Wartzack
Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany
1 publications · 11 citations
1
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1–5 of 63
Institutions
41
Oakland University
Rochester, United States
6 h-index
7 publications
367 citations
Carestream (United States)
Rochester, United States
2 h-index
4 publications
432 citations
National Chung Hsing University
Taichung, Taiwan
2 h-index
4 publications
96 citations
Kodak (United States)
Rochester, United States
2 h-index
2 publications
216 citations
General Motors (United States)
Detroit, United States
2 h-index
2 publications
72 citations
The University of Queensland
Brisbane, Australia
1 h-index
3 publications
87 citations
Université du Québec à Trois-Rivières
Trois-Rivières, Canada
1 h-index
1 publications
81 citations
Access to Wholistic and Productive Living Institute
Colmar Manor, United States
1 h-index
1 publications
16 citations
1–8 of 41
Venues
- Technometrics
7 publications · 383 citations
7
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- Journal of Quality Technology
6 publications · 334 citations
6
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- International Journal of Production Research
4 publications · 269 citations
4
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- Computers & Industrial Engineering
2 publications · 26 citations
2
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- Journal of Zhejiang University. Science A
1 publications · 10 citations
1
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