Manufacturing Variation Modeling

Manufacturing Variation Modeling is a computational framework that characterizes the statistical and geometric deviations in physical dimensions and features of parts and assemblies arising from manufacturing processes, distinguishing itself from other tolerance modeling approaches by explicitly representing the sources, propagation, and spatial correlation of process-induced variations.

204

Publications

8.8K

Citations

481

Authors

198

Institutions

Publications per year

2017–2026

51

Authors

481

  1. RS
    Rikard Söderberg

    Chalmers University of Technology, Sweden

    15 publications · 362 citations

    12

    h-index

  2. LL
    Lars Lindkvist

    Chalmers University of Technology, Sweden

    12 publications · 393 citations

    11

    h-index

  3. JS
    Jianjun Shi

    Georgia Institute of Technology, United States

    11 publications · 880 citations

    11

    h-index

  4. KW
    Kristina Wärmefjord

    Chalmers University of Technology, Sweden

    10 publications · 280 citations

    10

    h-index

  5. QH
    Qiang Huang

    University of Southern California, United States

    10 publications · 776 citations

    10

    h-index

1–5 of 481

Venues

  1. 14

    h-index

  2. Procedia CIRP

    11 publications · 309 citations

    11

    h-index

  3. Journal of Computing and Information Science in Engineering

    JCISE · 10 publications · 205 citations

    10

    h-index

  4. 10

    h-index

  5. 8

    h-index

1–5