Stochastic Inventory Forecasting

Stochastic Inventory Forecasting is a probabilistic forecasting method that models demand uncertainty using random variables and probability distributions to predict inventory needs under conditions of inherent variability.

6

Publications

318

Citations

16

Authors

10

Institutions

Publications per year

2017–2026

2

Variants

Probabilistic Inventory Forecasting

Authors

16

  1. VC
    Victoria C. P. Chen

    The University of Texas at Arlington, United States

    2 publications · 182 citations

    2

    h-index

  2. PH
    Per‐Anders Hansson

    Swedish University of Agricultural Sciences, Sweden

    1 publications · 20 citations

    1

    h-index

  3. SS
    Sridhar Seshadri

    New York University, United States

    1 publications · 11 citations

    1

    h-index

  4. RD
    Ralph D. Snyder

    Monash University, Australia

    1 publications · 80 citations

    1

    h-index

  5. AB
    Anne B. Koehler

    Miami University, United States

    1 publications · 80 citations

    1

    h-index

1–5 of 16

Venues

  1. Operations Research

    2 publications · 161 citations

    2

    h-index

  2. Computational Statistics & Data Analysis

    CSDA · 1 publications · 32 citations

    1

    h-index

  3. International Journal of Forecasting

    1 publications · 80 citations

    1

    h-index

  4. Applied Sciences

    1 publications · 25 citations

    1

    h-index

  5. Sustainable Production and Consumption

    1 publications · 20 citations

    1

    h-index

1–5