Inventory-driven Markdown Planning

Inventory-Driven Markdown Planning is a markdown optimization framework that determines pricing reduction strategies based on real-time inventory levels and turnover rates, distinguishing itself from demand- or competitor-driven approaches by prioritizing stock obsolescence risk and supply-side dynamics in pricing decisions.

6

Publications

429

Citations

14

Authors

12

Institutions

Publications per year

2017–2026

2

Authors

14

  1. RN
    Ram Narasimhan

    Michigan State University, United States

    1 publications · 25 citations

    1

    h-index

  2. WC
    Wenming Chung

    Michigan State University, United States

    1 publications · 25 citations

    1

    h-index

  3. CK
    Cengiz Kahraman

    Istanbul Technical University, Türkiye

    1 publications · 20 citations

    1

    h-index

  4. CC
    Chih‐Ying Chen

    Singapore Management University, Singapore

    1 publications · 25 citations

    1

    h-index

  5. RC
    Roger C. Baker

    Brigham Young University, United States

    1 publications · 144 citations

    1

    h-index

1–5 of 14

Venues

  1. European Journal of Operational Research

    2 publications · 169 citations

    2

    h-index

  2. Knowledge-Based Systems

    1 publications · 20 citations

    1

    h-index

  3. Journal of the Operational Research Society

    OR · 1 publications · 25 citations

    1

    h-index

  4. Journal of Economic Behavior & Organization

    1 publications · 11 citations

    1

    h-index

  5. Management Science

    1 publications · 204 citations

    1

    h-index

1–5