Algorithmic Shift Scheduling

Algorithmic Shift Scheduling is a computational method within workforce management that systematically generates optimal or near-optimal employee shift assignments by applying algorithmic techniques to satisfy operational constraints and staffing requirements.

24

Publications

961

Citations

76

Authors

42

Institutions

Publications per year

2017–2026

3

Authors

76

  1. NM
    Nysret Musliu

    TU Wien, Austria

    2 publications · 41 citations

    2

    h-index

  2. PS
    Paul Schwarzenau

    TU Dortmund University, Germany

    1 publications · 12 citations

    1

    h-index

  3. ME
    Mahsa Elahipanah

    Group for Research in Decision Analysis, Canada

    1 publications · 12 citations

    1

    h-index

  4. HK
    Hiroharu Kawanaka

    Mie University, Japan

    1 publications · 57 citations

    1

    h-index

  5. EK
    Ernst Kiesswetter

    TU Dortmund University, Germany

    1 publications · 12 citations

    1

    h-index

1–5 of 76

Venues

  1. Computers & Operations Research

    2 publications · 83 citations

    2

    h-index

  2. 2

    h-index

  3. 1

    h-index

  4. Decision Sciences

    1 publications · 41 citations

    1

    h-index

  5. 1

    h-index

1–5