Flexibility Under Uncertainty

Flexibility Under Uncertainty is a decision-making framework in process systems engineering that enables the evaluation and design of operational systems capable of maintaining feasibility and performance across a range of uncertain future conditions through adaptive capacity and responsive reconfiguration.

161

Publications

10.5K

Citations

360

Authors

205

Institutions

Publications per year

2017–2026

39

Authors

360

  1. IE
    Ignacio E. Grossmann

    Carnegie Mellon University, United States

    7 publications · 898 citations

    7

    h-index

  2. MC
    Michel‐Alexandre Cardin

    National University of Singapore, Singapore

    4 publications · 175 citations

    4

    h-index

  3. MI
    Marianthi Ierapetritou

    Rutgers, The State University of New Jersey, United States

    4 publications · 290 citations

    4

    h-index

  4. EP
    E.N. Pistikopoulos

    Imperial College London, United Kingdom

    3 publications · 97 citations

    3

    h-index

  5. JZ
    Jiawei Zhang

    New York University, United States

    3 publications · 118 citations

    3

    h-index

1–5 of 360

Venues

  1. Computers & Chemical Engineering

    13 publications · 1K citations

    13

    h-index

  2. International Journal of Production Research

    10 publications · 405 citations

    10

    h-index

  3. AIChE Journal

    7 publications · 508 citations

    7

    h-index

  4. Industrial & Engineering Chemistry Research

    6 publications · 261 citations

    6

    h-index

  5. Management Science

    5 publications · 1.1K citations

    5

    h-index

1–5