Short-term Inventory Forecasting

Short-Term Inventory Forecasting is a predictive modeling approach within inventory forecasting that specifically addresses demand and supply variations over a near-future time horizon, typically ranging from a few days to several weeks, by leveraging recent historical data and short-cycle patterns to optimize inventory levels and reduce stockout or overstock risks.

10

Publications

433

Citations

28

Authors

19

Institutions

Publications per year

2017–2026

3

Authors

28

  1. CT
    Chu‐Fa Tsai

    University of Maryland, College Park, United States

    1 publications · 11 citations

    1

    h-index

  2. CW
    Chien-Chih Wang

    Ming Chi University of Technology, Taiwan

    1 publications · 65 citations

    1

    h-index

  3. WD
    Wei Du

    East China University of Science and Technology, China

    1 publications · 31 citations

    1

    h-index

  4. CC
    C. Carl Pegels

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

    1 publications · 60 citations

    1

    h-index

  5. NJ
    Nuttapong Jotikastira

    Rajamangala University of Technology Rattanakosin, Thailand

    1 publications · 16 citations

    1

    h-index

1–5 of 28

Venues

  1. Naval Research Logistics (NRL)

    1 publications · 31 citations

    1

    h-index

  2. Information Systems Research

    ISR · 1 publications · 12 citations

    1

    h-index

  3. Neurocomputing

    1 publications · 31 citations

    1

    h-index

  4. Complexity

    1 publications · 16 citations

    1

    h-index

  5. Fisheries Research

    1 publications · 11 citations

    1

    h-index

1–5