Adaptive Manufacturing

Adaptive Manufacturing is a manufacturing paradigm that dynamically adjusts production processes in real time based on feedback from digital systems, sensor data, and changing customer demands, distinguishing itself from traditional and mass customization approaches through its integration of cyber-physical systems, artificial intelligence, and flexible automation to enable responsive, efficient, and individualized production.

280

Publications

18.6K

Citations

865

Authors

333

Institutions

Publications per year

2017–2026

136

Authors

865

  1. LW
    Lihui Wang

    KTH Royal Institute of Technology, Sweden

    7 publications · 327 citations

    7

    h-index

  2. HE
    Hoda ElMaraghy

    University of Windsor, Canada

    6 publications · 222 citations

    6

    h-index

  3. LM
    László Monostori

    HUN-REN Institute for Computer Science and Control, Hungary

    6 publications · 254 citations

    6

    h-index

  4. DH
    Douglas H. Norrie

    University of Calgary, Canada

    5 publications · 1.7K citations

    5

    h-index

  5. GL
    Gisela Lanza

    Karlsruhe Institute of Technology, Germany

    5 publications · 275 citations

    5

    h-index

1–5 of 865

Venues

  1. International Journal of Production Research

    20 publications · 1.1K citations

    17

    h-index

  2. Procedia CIRP

    16 publications · 823 citations

    13

    h-index

  3. Procedia Manufacturing

    11 publications · 377 citations

    11

    h-index

  4. 7

    h-index

  5. Robotics and Computer-Integrated Manufacturing

    6 publications · 479 citations

    6

    h-index

1–5