Retrieval-based Process Planning

Retrieval-Based Process Planning is a computer-aided process planning method that belongs to the class of variant approaches, distinguished by its reliance on retrieving and adapting existing standard process plans from a predefined knowledge base to support the planning of new manufacturing processes.

7

Publications

249

Citations

20

Authors

9

Institutions

Publications per year

2017–2026

2

Authors

20

  1. RH
    Rui Huang

    Northwestern Polytechnical University, China

    2 publications · 96 citations

    2

    h-index

  2. SZ
    Shusheng Zhang

    Northwestern Polytechnical University, China

    2 publications · 96 citations

    2

    h-index

  3. BH
    Bo Huang

    Northwestern Polytechnical University, China

    2 publications · 96 citations

    2

    h-index

  4. XL
    Xiuling Li

    University of Illinois Urbana-Champaign, United States

    1 publications · 35 citations

    1

    h-index

  5. DC
    David Culler

    University of California, Berkeley, United States

    1 publications · 46 citations

    1

    h-index

1–5 of 20

Venues

  1. 2

    h-index

  2. Journal of Mechanical Engineering

    1 publications · 13 citations

    1

    h-index

  3. Information Systems

    1 publications · 44 citations

    1

    h-index

  4. 1

    h-index

  5. Computers in Industry

    1 publications · 61 citations

    1

    h-index

1–5