Risk-sensitive Inventory Models

Risk-Sensitive Inventory Models is a class of stochastic inventory models that incorporates risk measures into decision-making, distinguishing itself by optimizing inventory policies under uncertainty according to risk-aware criteria rather than solely expected cost minimization.

27

Publications

2.1K

Citations

56

Authors

46

Institutions

Publications per year

2017–2026

4

Authors

56

  1. KH
    Kee H. Chung

    University at Buffalo, State University of New York, United States

    2 publications · 87 citations

    2

    h-index

  2. MA
    Mohsen Anvari

    Concordia University, Canada

    2 publications · 123 citations

    2

    h-index

  3. LP
    Lorenzo Peccati

    Bocconi University, Italy

    2 publications · 116 citations

    2

    h-index

  4. AS
    Alexander Shapiro

    Georgia Institute of Technology, United States

    2 publications · 227 citations

    2

    h-index

  5. PR
    Peter Ritchken

    Case Western Reserve University, United States

    1 publications · 14 citations

    1

    h-index

1–5 of 56

Venues

  1. Journal of the Operational Research Society

    OR · 4 publications · 211 citations

    4

    h-index

  2. European Journal of Operational Research

    3 publications · 304 citations

    3

    h-index

  3. International Journal of Production Economics

    3 publications · 136 citations

    3

    h-index

  4. Operations Research

    2 publications · 385 citations

    2

    h-index

  5. Computers & Industrial Engineering

    2 publications · 71 citations

    2

    h-index

1–5