Slack Under Uncertainty

Slack Under Uncertainty is a computational framework in operations research that quantifies the permissible deviation in temporal or resource constraints within scheduling systems subject to stochastic disturbances, distinguishing it from deterministic slack models by explicitly incorporating probabilistic variability in activity durations or resource availability.

7

Publications

268

Citations

13

Authors

12

Institutions

Publications per year

2017–2026

1

Authors

13

  1. TK
    Ted Klastorin

    University of Washington, United States

    1 publications · 13 citations

    1

    h-index

  2. YX
    Yu Xia

    William & Mary, United States

    1 publications · 29 citations

    1

    h-index

  3. AS
    Alan S. Dunk

    Western Sydney University, Australia

    1 publications · 28 citations

    1

    h-index

  4. JJ
    Josef Jablonský

    Prague University of Economics and Business, Czechia

    1 publications · 14 citations

    1

    h-index

  5. AH
    A. Hadi‐Vencheh

    Islamic Azad University, Isfahan, Iran

    1 publications · 14 citations

    1

    h-index

1–5 of 13

Venues

  1. Journal of Industrial and Production Engineering

    JIPE · 1 publications · 13 citations

    1

    h-index

  2. Quarterly of Applied Mathematics

    QAM · 1 publications · 13 citations

    1

    h-index

  3. Accounting and Finance

    1 publications · 28 citations

    1

    h-index

  4. International Journal of Production Economics

    1 publications · 29 citations

    1

    h-index

  5. IIE Transactions

    1 publications · 13 citations

    1

    h-index

1–5