Data-driven Warehouse Decision Making

Data-Driven Warehouse Decision Making is a decision-making framework that systematically leverages quantitative data, analytical models, and real-time warehouse metrics to optimize operational efficiency, inventory management, and resource allocation within warehouse environments.

12

Publications

621

Citations

38

Authors

20

Institutions

Publications per year

2017–2026

8

Publications

12

Authors

38

  1. AL
    Augustyn Lorenc

    Cracow University of Technology, Poland

    2 publications · 36 citations

    2

    h-index

  2. MK
    M. Kathryn Brohman

    Queen's University, Canada

    1 publications · 26 citations

    1

    h-index

  3. SM
    Suzanne McCarthy

    University College Cork, Ireland

    1 publications · 14 citations

    1

    h-index

  4. NS
    Nataliya Shakhovska

    Lviv Polytechnic National University, Ukraine

    1 publications · 15 citations

    1

    h-index

  5. KC
    K.L. Choy

    Hong Kong Polytechnic University, Hong Kong SAR China

    1 publications · 421 citations

    1

    h-index

1–5 of 38

Venues

  1. Journal of Interconnection Networks

    JOIN · 1 publications · 16 citations

    1

    h-index

  2. Applied Sciences

    1 publications · 19 citations

    1

    h-index

  3. Canadian Journal of Civil Engineering

    1 publications · 15 citations

    1

    h-index

  4. 1

    h-index

  5. Eastern-European Journal of Enterprise Technologies

    EEJET · 1 publications · 15 citations

    1

    h-index

1–5