Dynamic Process Planning

Dynamic Process Planning is a computer-aided process planning method that dynamically generates and optimizes manufacturing process plans in real time by adapting to changing production conditions, resource availability, and design requirements, distinguishing itself from static or pre-defined planning approaches through its responsiveness and reconfigurability.

51

Publications

2.1K

Citations

113

Authors

49

Institutions

Publications per year

2017–2026

15

Authors

113

  1. JM
    John M. Usher

    Mississippi State University, United States

    3 publications · 81 citations

    3

    h-index

  2. LT
    Lorenz T. Biegler

    Carnegie Mellon University, United States

    3 publications · 497 citations

    3

    h-index

  3. KF
    Kiran Fernandes

    Durham University, United Kingdom

    3 publications · 81 citations

    3

    h-index

  4. YZ
    Yunfeng Zhang

    China University of Geosciences, China

    2 publications · 31 citations

    2

    h-index

  5. NS
    Nobuhiro Sugimura

    Osaka Prefecture University, Japan

    2 publications · 65 citations

    2

    h-index

1–5 of 113

Venues

  1. Computers & Industrial Engineering

    5 publications · 161 citations

    5

    h-index

  2. International Journal of Production Research

    5 publications · 208 citations

    5

    h-index

  3. 2

    h-index

  4. Computers & Chemical Engineering

    2 publications · 97 citations

    2

    h-index

  5. 2

    h-index

1–5