Forecast-based Reorder Rules

Forecast-Based Reorder Rules is a reorder point system method that determines optimal inventory replenishment timing and quantity by utilizing demand forecasts as the primary input to differentiate it from rule-based or heuristic reorder approaches relying solely on historical reorder levels or fixed intervals.

4

Publications

77

Citations

8

Authors

4

Institutions

Publications per year

2017–2026

1

Authors

8

  1. JE
    J. Elmaleh

    Imperial College London, United Kingdom

    2 publications · 49 citations

    2

    h-index

  2. SE
    Samuel Eilon

    Imperial College London, United Kingdom

    2 publications · 49 citations

    2

    h-index

  3. LH
    Li‐Ting Huang

    Islamia University of Bahawalpur, Pakistan

    1 publications · 13 citations

    1

    h-index

  4. CF
    Cheng‐Kiang Farn

    National Central University, Taiwan

    1 publications · 13 citations

    1

    h-index

  5. BZ
    Bin Zhang

    University of Science and Technology of China, China

    1 publications · 15 citations

    1

    h-index

1–5 of 8

Institutions

4

Venues

  1. Computers & Industrial Engineering

    1 publications · 13 citations

    1

    h-index

  2. Management Science

    1 publications · 34 citations

    1

    h-index

  3. International Journal of Production Research

    1 publications · 15 citations

    1

    h-index

  4. International Journal of Production Economics

    1 publications · 15 citations

    1

    h-index

1–4