Continuous-time Scheduling Models

Continuous-Time Scheduling Models is a mathematical framework for resource-constrained project scheduling that, unlike discrete-time models, represents time as a continuous variable, enabling precise event timing and more accurate modeling of activities and resource allocations over arbitrary time intervals.

66

Publications

4.1K

Citations

130

Authors

75

Institutions

Publications per year

2017–2026

18

Authors

130

  1. CT
    Christos T. Maravelias

    University of Wisconsin–Madison, United States

    10 publications · 720 citations

    10

    h-index

  2. IE
    Ignacio E. Grossmann

    Carnegie Mellon University, United States

    9 publications · 917 citations

    9

    h-index

  3. PM
    Pedro M. Castro

    University of Lisbon, Portugal

    8 publications · 663 citations

    8

    h-index

  4. CA
    Christodoulos A. Floudas

    Princeton University, United States

    5 publications · 597 citations

    5

    h-index

  5. AQ
    Augusto Q. Novais

    National Institute of Engineering, Technology and Innovation, Portugal

    4 publications · 332 citations

    4

    h-index

1–5 of 130

Venues

  1. Industrial & Engineering Chemistry Research

    22 publications · 2K citations

    19

    h-index

  2. Computers & Chemical Engineering

    17 publications · 1K citations

    15

    h-index

  3. European Journal of Operational Research

    5 publications · 200 citations

    5

    h-index

  4. Computers & Operations Research

    4 publications · 111 citations

    4

    h-index

  5. Management Science

    2 publications · 159 citations

    2

    h-index

1–5