Generative Process Planning

Generative Process Planning is a computer-aided manufacturing methodology that autonomously creates detailed process plans from scratch based on product design and available resource data, distinguishing itself from variant approaches by synthesizing new sequences rather than retrieving or modifying existing ones.

33

Publications

1.4K

Citations

77

Authors

30

Institutions

Publications per year

2017–2026

4

Variants

Generative CappGenerative Computer-aided Process Planning

Authors

77

  1. RA
    Richard A. Wysk

    Pennsylvania State University, United States

    4 publications · 107 citations

    4

    h-index

  2. TC
    Tien‐Chien Chang

    Purdue University West Lafayette, United States

    3 publications · 92 citations

    3

    h-index

  3. SK
    Santosh Kumar

    Banaras Hindu University, India

    2 publications · 38 citations

    2

    h-index

  4. HK
    H.J.J. Kals

    University of Twente, Netherlands

    2 publications · 81 citations

    2

    h-index

  5. PC
    Paola Cillo

    Bocconi University, Italy

    2 publications · 128 citations

    2

    h-index

1–5 of 77

Venues

  1. International Journal of Production Research

    7 publications · 587 citations

    7

    h-index

  2. 3

    h-index

  3. CIRP Annals

    2 publications · 81 citations

    2

    h-index

  4. 2

    h-index

  5. Journal of Engineering for Industry

    2 publications · 44 citations

    2

    h-index

1–5