Production Bottleneck Modeling

Production Bottleneck Modeling is a formal analytical framework that identifies, represents, and evaluates the constraints limiting throughput in production systems by systematically characterizing resource capacities, flow dynamics, and interaction dependencies within manufacturing or operational processes.

106

Publications

3.9K

Citations

243

Authors

127

Institutions

Publications per year

2017–2026

25

Authors

243

  1. JL
    Jingshan Li

    University of Wisconsin–Madison, United States

    8 publications · 297 citations

    8

    h-index

  2. SM
    Semyon M. Meerkov

    University of Michigan, United States

    8 publications · 550 citations

    8

    h-index

  3. LM
    Lars Mönch

    FernUniversität in Hagen, Germany

    4 publications · 81 citations

    4

    h-index

  4. LZ
    Liang Zhang

    University of Connecticut, United States

    4 publications · 147 citations

    4

    h-index

  5. SB
    Stephan Biller

    General Motors (United States), United States

    4 publications · 143 citations

    4

    h-index

1–5 of 243

Venues

  1. International Journal of Production Research

    10 publications · 324 citations

    10

    h-index

  2. 6

    h-index

  3. Computers & Industrial Engineering

    4 publications · 177 citations

    4

    h-index

  4. European Journal of Operational Research

    4 publications · 97 citations

    4

    h-index

  5. Journal of Manufacturing Systems

    3 publications · 92 citations

    3

    h-index

1–5