Value-based Classification

Value-Based Classification is an inventory classification method that categorizes items according to their monetary value or contribution to overall inventory cost, typically applying criteria such as annual consumption value to distinguish high-value from low-value items.

19

Publications

1.3K

Citations

54

Authors

23

Institutions

Publications per year

2017–2026

7

Authors

54

  1. CL
    Chang‐Hwan Lee

    Pusan National University, South Korea

    2 publications · 82 citations

    2

    h-index

  2. JF
    Johannes F. Plate

    Wake Forest University, United States

    1 publications · 30 citations

    1

    h-index

  3. RA
    Robert A. Eisenbeis

    Federal Reserve Bank of Atlanta, United States

    1 publications · 249 citations

    1

    h-index

  4. BU
    Benedict U. Nwachukwu

    Hospital for Special Surgery, United States

    1 publications · 110 citations

    1

    h-index

  5. HS
    Heather S. Haeberle

    Cleveland Clinic, United States

    1 publications · 110 citations

    1

    h-index

1–5 of 54

Venues

  1. Fuzzy Sets and Systems

    1 publications · 92 citations

    1

    h-index

  2. The Journal of Arthroplasty

    1 publications · 30 citations

    1

    h-index

  3. Journal of Heritage Tourism

    JHT · 1 publications · 15 citations

    1

    h-index

  4. Measurement

    1 publications · 39 citations

    1

    h-index

  5. Data & Knowledge Engineering

    DKE · 1 publications · 39 citations

    1

    h-index

1–5