Probabilistic Inventory Models

Probabilistic Inventory Models is a class of stochastic inventory control frameworks that explicitly incorporate demand and/or supply uncertainty into safety stock calculations, distinguishing them from deterministic models by using probability distributions to optimize stock levels under variable replenishment conditions.

207

Publications

11.8K

Citations

370

Authors

237

Institutions

Publications per year

2017–2026

32

Variants

Probabilistic Inventory Model

Authors

370

  1. SS
    Suresh Sethi

    The University of Texas at Dallas, United States

    5 publications · 241 citations

    5

    h-index

  2. PZ
    Paul Zipkin

    Columbia University, United States

    5 publications · 390 citations

    5

    h-index

  3. SS
    Shib Sankar Sana

    University of Calcutta, India

    4 publications · 182 citations

    4

    h-index

  4. NH
    Nita H. Shah

    Gujarat University, India

    4 publications · 113 citations

    4

    h-index

  5. RD
    Rommert Dekker

    Erasmus University Rotterdam, Netherlands

    4 publications · 257 citations

    4

    h-index

1–5 of 370

Venues

  1. Management Science

    18 publications · 2.1K citations

    15

    h-index

  2. European Journal of Operational Research

    15 publications · 1.4K citations

    14

    h-index

  3. Operations Research

    13 publications · 1.2K citations

    13

    h-index

  4. International Journal of Production Economics

    11 publications · 475 citations

    11

    h-index

  5. Journal of the Operational Research Society

    OR · 10 publications · 656 citations

    10

    h-index

1–5