Queueing-based Staffing Models

Queueing-Based Staffing Models is a quantitative staffing method that belongs to the class of operations research models and specifically incorporates queueing theory principles to determine optimal workforce levels by accounting for stochastic demand patterns, service times, and desired service performance thresholds.

104

Publications

5.2K

Citations

242

Authors

143

Institutions

Publications per year

2017–2026

22

Authors

242

  1. LV
    Linda V. Green

    Columbia University, United States

    6 publications · 1.2K citations

    6

    h-index

  2. EJ
    Edieal J. Pinker

    University of Rochester, United States

    4 publications · 280 citations

    4

    h-index

  3. AM
    Avishai Mandelbaum

    Technion – Israel Institute of Technology, Israel

    4 publications · 333 citations

    4

    h-index

  4. JS
    João Soares

    University of Coimbra, Portugal

    4 publications · 738 citations

    4

    h-index

  5. WW
    Ward Whitt

    AT&T (United States), United States

    4 publications · 373 citations

    4

    h-index

1–5 of 242

Venues

  1. Operations Research

    13 publications · 885 citations

    13

    h-index

  2. Management Science

    7 publications · 551 citations

    7

    h-index

  3. Manufacturing & Service Operations Management

    6 publications · 440 citations

    6

    h-index

  4. INFORMS Journal on Applied Analytics

    5 publications · 204 citations

    5

    h-index

  5. Production and Operations Management

    POMS · 5 publications · 457 citations

    5

    h-index

1–5