Complexity Segmentation

Complexity Segmentation is a supply chain segmentation framework that classifies segments based on the structural and operational intricacies of products, services, or customer demands, distinguishing itself by focusing on variability, uncertainty, and interdependencies inherent in supply chain processes.

7

Publications

249

Citations

19

Authors

7

Institutions

Publications per year

2017–2026

0

Authors

19

  1. HN
    Hideki Noda

    Kyushu Institute of Technology, Japan

    3 publications · 118 citations

    3

    h-index

  2. EK
    Eiji Kawaguchi

    Kyushu Institute of Technology, Japan

    3 publications · 118 citations

    3

    h-index

  3. BP
    B. Phillips

    Texas Tech University, United States

    2 publications · 43 citations

    2

    h-index

  4. BN
    Brian Nutter

    Texas Tech University, United States

    2 publications · 43 citations

    2

    h-index

  5. TF
    T. Furuta

    Kyushu Institute of Technology, Japan

    2 publications · 46 citations

    2

    h-index

1–5 of 19

Venues

  1. IEEE Signal Processing Letters

    1 publications · 72 citations

    1

    h-index

  2. Physiological Measurement

    1 publications · 64 citations

    1

    h-index

  3. Computer-Based Medical Systems

    Conference · 1 publications · 21 citations

    1

    h-index

  4. International Journal of Security and Its Applications

    IJSIA · 1 publications · 10 citations

1–4