Knowledge-based Process Planning

Knowledge-Based Process Planning is a formal method within Computer-Aided Process Planning that integrates domain-specific knowledge, rules, and heuristics to automate and optimize manufacturing process planning decisions.

127

Publications

4.1K

Citations

323

Authors

146

Institutions

Publications per year

2017–2026

20

Authors

323

  1. RK
    R.L. Kashyap

    Purdue University West Lafayette, United States

    3 publications · 64 citations

    3

    h-index

  2. DŠ
    Dušan Šormaz

    Ohio University, United States

    3 publications · 128 citations

    3

    h-index

  3. AB
    Alain Bernard

    École Centrale de Nantes, France

    3 publications · 79 citations

    3

    h-index

  4. GZ
    Guanghui Zhou

    Xi'an Jiaotong University, China

    3 publications · 484 citations

    3

    h-index

  5. DN
    Dana Nau

    University of Maryland, College Park, United States

    3 publications · 82 citations

    3

    h-index

1–5 of 323

Venues

  1. International Journal of Production Research

    11 publications · 723 citations

    11

    h-index

  2. 9

    h-index

  3. CIRP Annals

    6 publications · 253 citations

    6

    h-index

  4. Journal of Intelligent Manufacturing

    6 publications · 162 citations

    6

    h-index

  5. Computers in Industry

    5 publications · 169 citations

    5

    h-index

1–5