Multi-resource Scheduling

Multi-Resource Scheduling is a resource-constrained scheduling problem in which the allocation and coordination of multiple distinct resource types—such as personnel, equipment, and materials—are simultaneously managed to optimize task execution under limited availability constraints.

514

Publications

26.6K

Citations

1.4K

Authors

596

Institutions

Publications per year

2017–2026

139

Authors

1.4K

  1. HJ
    Howard Jay Siegel

    Colorado State University, United States

    6 publications · 433 citations

    6

    h-index

  2. CL
    Chung‐Lun Li

    Hong Kong Polytechnic University, Hong Kong SAR China

    6 publications · 331 citations

    6

    h-index

  3. HS
    Hadas Shachnai

    Technion – Israel Institute of Technology, Israel

    6 publications · 330 citations

    6

    h-index

  4. JH
    J. Herbert Patterson

    University of North Carolina at Chapel Hill, United States

    5 publications · 862 citations

    5

    h-index

  5. IS
    Ion Stoica

    University of California, Berkeley, United States

    5 publications · 472 citations

    5

    h-index

1–5 of 1.4K

Venues

  1. European Journal of Operational Research

    30 publications · 1.8K citations

    25

    h-index

  2. Computers & Industrial Engineering

    17 publications · 713 citations

    15

    h-index

  3. International Journal of Production Research

    19 publications · 578 citations

    14

    h-index

  4. Management Science

    14 publications · 3.6K citations

    14

    h-index

  5. Operations Research

    9 publications · 1K citations

    9

    h-index

1–5