Robust Crew Scheduling

Robust Crew Scheduling is a crew scheduling approach that incorporates uncertainty and variability in operational conditions to proactively generate schedules resilient to disruptions, distinguishing it from deterministic or reactive scheduling methods by its emphasis on reliability and adaptability under perturbations.

23

Publications

1.4K

Citations

58

Authors

36

Institutions

Publications per year

2017–2026

8

Authors

58

  1. ME
    Matthias Ehrgott

    University of Auckland, New Zealand

    3 publications · 374 citations

    3

    h-index

  2. DM
    David M. Ryan

    University of Auckland, New Zealand

    3 publications · 374 citations

    3

    h-index

  3. NK
    Natalia Kliewer

    Freie Universität Berlin, Germany

    3 publications · 124 citations

    3

    h-index

  4. VV
    Vikrant Vaze

    Dartmouth College, United States

    2 publications · 65 citations

    2

    h-index

  5. SC
    Sai‐Ho Chung

    Hong Kong Polytechnic University, Hong Kong SAR China

    2 publications · 99 citations

    2

    h-index

1–5 of 58

Venues

  1. Transportation Science

    6 publications · 465 citations

    6

    h-index

  2. Computers & Operations Research

    4 publications · 320 citations

    4

    h-index

  3. Data Archiving and Networked Services (DANS)

    Repository · 1 publications · 47 citations

    1

    h-index

  4. 1

    h-index

  5. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics)

    Repository · 1 publications · 10 citations

    1

    h-index

1–5