Kanban Simulation

Kanban Simulation is a formal computational or operational model that dynamically represents the flow of work items through a Kanban system, distinguished by its explicit implementation of visual signaling, work-in-progress limits, and pull-based replenishment to analyze and optimize workflow performance.

76

Publications

3.8K

Citations

154

Authors

85

Institutions

Publications per year

2017–2026

6

Authors

154

  1. BJ
    Blair J. Berkley

    University of Wisconsin–Madison, United States

    4 publications · 110 citations

    4

    h-index

  2. PY
    Philip Y. Huang

    Virginia Tech, United States

    4 publications · 441 citations

    4

    h-index

  3. BW
    Bernard W. Taylor

    Virginia Tech, United States

    4 publications · 441 citations

    4

    h-index

  4. LP
    Loren Paul Rees

    Virginia Tech, United States

    4 publications · 441 citations

    4

    h-index

  5. JA
    Jo Ann Lane

    University of Southern California, United States

    4 publications · 63 citations

    4

    h-index

1–5 of 154

Venues

  1. International Journal of Production Research

    20 publications · 1.6K citations

    15

    h-index

  2. Decision Sciences

    5 publications · 305 citations

    5

    h-index

  3. International Journal of Operations & Production Management

    IJOPM · 4 publications · 123 citations

    4

    h-index

  4. Production Planning & Control

    3 publications · 44 citations

    3

    h-index

  5. 3

    h-index

1–5