Retail Inventory Optimization

Retail Inventory Optimization is an academic construct within inventory management theory that specifically integrates demand forecasting, cost modeling, and ordering policies to determine optimal stock levels in retail settings, distinguishing it from broader supply chain models by its focus on single-stage, consumer-facing operations with price sensitivity, shelf-space constraints, and high demand variability.

113

Publications

5.2K

Citations

261

Authors

169

Institutions

Publications per year

2017–2026

45

Authors

261

  1. NA
    Narendra Agrawal

    Santa Clara University, United States

    5 publications · 631 citations

    5

    h-index

  2. SA
    Stephen A. Smith

    Santa Clara University, United States

    5 publications · 631 citations

    5

    h-index

  3. YT
    Yu‐Chung Tsao

    National Taiwan University of Science and Technology, Taiwan

    3 publications · 126 citations

    3

    h-index

  4. YZ
    Yong‐Wu Zhou

    South China University of Technology, China

    3 publications · 108 citations

    3

    h-index

  5. JZ
    Ju Zhao

    Hefei University of Technology, China

    2 publications · 65 citations

    2

    h-index

1–5 of 261

Venues

  1. European Journal of Operational Research

    15 publications · 726 citations

    15

    h-index

  2. Computers & Industrial Engineering

    10 publications · 447 citations

    10

    h-index

  3. Manufacturing & Service Operations Management

    9 publications · 544 citations

    9

    h-index

  4. International Journal of Production Economics

    7 publications · 526 citations

    7

    h-index

  5. Production and Operations Management

    POMS · 5 publications · 178 citations

    5

    h-index

1–5