Wait-and-see Problem

The "Wait-And-See Problem" is a stochastic programming formulation in which the decision maker optimizes over all possible realizations of random parameters by assuming perfect knowledge of the uncertainty realization before making decisions, thereby separating the stochastic problem into deterministic subproblems for each scenario.

96

Publications

7.3K

Citations

415

Authors

183

Institutions

Publications per year

2017–2026

28

Variants

Wait-and-see Model

Authors

415

  1. DM
    Doenja M. J. Lambregts

    The Netherlands Cancer Institute, Netherlands

    2 publications · 1.2K citations

    2

    h-index

  2. VC
    Victoria C. P. Chen

    The University of Texas at Arlington, United States

    2 publications · 50 citations

    2

    h-index

  3. GL
    Guido Lammering

    Maastro Clinic, Netherlands

    2 publications · 1.2K citations

    2

    h-index

  4. JM
    Jay Michael Rosenberger

    The University of Texas at Arlington, United States

    2 publications · 50 citations

    2

    h-index

  5. PS
    Piampoom Sarikprueck

    The University of Texas at Arlington, United States

    2 publications · 50 citations

    2

    h-index

1–5 of 415

Venues

  1. Diseases of the Colon & Rectum

    2 publications · 126 citations

    2

    h-index

  2. Management Science

    2 publications · 27 citations

    2

    h-index

  3. The Lancet

    2 publications · 1.2K citations

    2

    h-index

  4. Operations Research

    2 publications · 160 citations

    2

    h-index

  5. PubMed

    Repository · 2 publications · 126 citations

    2

    h-index

1–5