System Bottleneck Detection

System Bottleneck Detection is a methodological framework within throughput analysis that identifies the limiting component or process in a system by systematically evaluating performance constraints and resource utilization imbalances across its operational stages.

118

Publications

4.6K

Citations

326

Authors

137

Institutions

Publications per year

2017–2026

37

Authors

326

  1. CR
    Christoph Roser

    Karlsruhe University of Applied Sciences, Germany

    10 publications · 493 citations

    10

    h-index

  2. MN
    Masaru Nakano

    Keio University, Japan

    6 publications · 344 citations

    6

    h-index

  3. CP
    Calton Pu

    Georgia Institute of Technology, United States

    4 publications · 129 citations

    4

    h-index

  4. MS
    Mukund Subramaniyan

    Chalmers University of Technology, Sweden

    4 publications · 206 citations

    4

    h-index

  5. AS
    Anders Skoogh

    Chalmers University of Technology, Sweden

    4 publications · 206 citations

    4

    h-index

1–5 of 326

Venues

  1. Journal of Manufacturing Systems

    6 publications · 351 citations

    6

    h-index

  2. International Journal of Production Research

    5 publications · 495 citations

    5

    h-index

  3. 3

    h-index

  4. Winter Simulation Conference

    Conference · 3 publications · 82 citations

    3

    h-index

  5. Computers & Industrial Engineering

    2 publications · 33 citations

    2

    h-index

1–5