Supplier Acceptance Sampling

Supplier Acceptance Sampling is a statistical quality control method that involves inspecting a subset of items from a supplier’s lot to determine whether the entire lot conforms to predefined quality standards, thereby enabling acceptance or rejection decisions based on probabilistic inference.

10

Publications

373

Citations

18

Authors

13

Institutions

Publications per year

2017–2026

1

Authors

18

  1. CS
    Charles S. Tapiero

    Hebrew University of Jerusalem, Israel

    2 publications · 48 citations

    2

    h-index

  2. SA
    S. Andrew Starbird

    Santa Clara University, United States

    2 publications · 80 citations

    2

    h-index

  3. HW
    Hong Wan

    Capital Medical University, China

    1 publications · 13 citations

    1

    h-index

  4. AB
    Abu Bakar Sulong

    National University of Malaysia, Malaysia

    1 publications · 15 citations

    1

    h-index

  5. KK
    Kwan‐Woo Kim

    National Institute of Animal Science, South Korea

    1 publications · 152 citations

    1

    h-index

1–5 of 18

Venues

  1. 2

    h-index

  2. Naval Research Logistics (NRL)

    2 publications · 56 citations

    2

    h-index

  3. Applied Stochastic Models and Data Analysis

    1 publications · 19 citations

    1

    h-index

  4. Journal of Statistical Software

    JSS · 1 publications · 28 citations

    1

    h-index

  5. Journal of the Operational Research Society

    OR · 1 publications · 37 citations

    1

    h-index

1–5