Inventory Demand Planning

Inventory Demand Planning is a systematic decision-support framework within inventory informatics that specifically integrates predictive analytics and operational constraints to determine optimal future inventory requirements, thereby distinguishing itself from broader supply chain planning methods by its focused application on inventory-level demand forecasting and replenishment strategy formulation.

24

Publications

1.2K

Citations

62

Authors

47

Institutions

Publications per year

2017–2026

7

Authors

62

  1. DE
    Daniel E. Rivera

    Arizona State University, United States

    1 publications · 25 citations

    1

    h-index

  2. JM
    Joseph Martha

    Mercer (Czechia), Czechia

    1 publications · 136 citations

    1

    h-index

  3. JX
    Jinxing Xie

    Tsinghua University, China

    1 publications · 41 citations

    1

    h-index

  4. LR
    Laura Rock Kopczak

    Stanford University, United States

    1 publications · 50 citations

    1

    h-index

  5. İT
    İ.B. Türkşen

    University of Toronto, Canada

    1 publications · 12 citations

    1

    h-index

1–5 of 62

Venues

  1. International Journal of Production Economics

    3 publications · 209 citations

    3

    h-index

  2. Journal of the Operational Research Society

    OR · 2 publications · 94 citations

    2

    h-index

  3. Applied Mathematical Modelling

    2 publications · 58 citations

    2

    h-index

  4. Operations Research for Health Care

    1 publications · 48 citations

    1

    h-index

  5. Supply chain management review

    1 publications · 136 citations

    1

    h-index

1–5