Process Planning Knowledge Representation

Process Planning Knowledge Representation is a formalized schema or model that structures and codifies manufacturing process knowledge for systematic application in computer-aided process planning, distinguishing itself by enabling the explicit, machine-interpretable depiction of process sequences, operations, resources, and constraints.

116

Publications

3.6K

Citations

257

Authors

93

Institutions

Publications per year

2017–2026

19

Authors

257

  1. TC
    Tien‐Chien Chang

    Purdue University West Lafayette, United States

    4 publications · 235 citations

    4

    h-index

  2. RA
    Richard A. Wysk

    Pennsylvania State University, United States

    4 publications · 190 citations

    4

    h-index

  3. BH
    Bo Huang

    Northwestern Polytechnical University, China

    2 publications · 96 citations

    3

    h-index

  4. RH
    Rui Huang

    Northwestern Polytechnical University, China

    2 publications · 96 citations

    3

    h-index

  5. RK
    R.L. Kashyap

    Purdue University West Lafayette, United States

    3 publications · 89 citations

    3

    h-index

1–5 of 257

Venues

  1. 11

    h-index

  2. International Journal of Production Research

    9 publications · 336 citations

    9

    h-index

  3. 9

    h-index

  4. Robotics and Computer-Integrated Manufacturing

    8 publications · 276 citations

    8

    h-index

  5. CIRP Annals

    7 publications · 327 citations

    7

    h-index

1–5