Manufacturing Analytics

Manufacturing Analytics is an academic concept referring to the systematic application of data analysis techniques and computational models within the domain of manufacturing systems to transform raw production data into actionable insights that enhance decision-making, process efficiency, and operational performance in both Cell Manufacturing and Digital Manufacturing contexts.

412

Publications

31.1K

Citations

1.3K

Authors

534

Institutions

Publications per year

2017–2026

258

Publications

412

1–5 of 412

Authors

1.3K

  1. CC
    Chen–Fu Chien

    National Tsing Hua University, Taiwan

    11 publications · 552 citations

    11

    h-index

  2. SS
    Seung‐Jun Shin

    National Institute of Standards and Technology, United States

    8 publications · 484 citations

    8

    h-index

  3. SJ
    Sanjay Jain

    George Washington University, United States

    7 publications · 307 citations

    7

    h-index

  4. GS
    Guodong Shao

    National Institute of Standards and Technology, United States

    7 publications · 297 citations

    7

    h-index

  5. DL
    David Lechevalier

    National Institute of Standards and Technology, United States

    6 publications · 166 citations

    6

    h-index

1–5 of 1.3K

Venues

  1. Procedia CIRP

    36 publications · 3.2K citations

    18

    h-index

  2. Journal of Intelligent Manufacturing

    20 publications · 787 citations

    15

    h-index

  3. International Journal of Production Research

    15 publications · 2.1K citations

    15

    h-index

  4. 14

    h-index

  5. Journal of Manufacturing Systems

    14 publications · 580 citations

    14

    h-index

1–5