Risk-based Acceptance Sampling

Risk-Based Acceptance Sampling is a statistical quality control method that belongs to the class of acceptance sampling techniques and is distinguished by its incorporation of risk assessment principles to determine sampling plans, where the likelihood and impact of nonconformance are explicitly evaluated to optimize decision-making under uncertainty.

12

Publications

315

Citations

31

Authors

18

Institutions

Publications per year

2017–2026

6

Authors

31

  1. XT
    Xiaohua Tong

    Tongji University, China

    2 publications · 68 citations

    2

    h-index

  2. AJ
    Arturo J. Fernández

    Universidad de La Laguna, Spain

    2 publications · 40 citations

    2

    h-index

  3. AI
    Amer Ibrahim Al‐Omari

    Al al-Bayt University, Jordan

    2 publications · 66 citations

    2

    h-index

  4. MA
    Muhammad Ameeq

    Islamia University of Bahawalpur, Pakistan

    2 publications · 30 citations

    2

    h-index

  5. CJ
    Carlos J. Pérez-González

    Universidad de La Laguna, Spain

    2 publications · 40 citations

    2

    h-index

1–5 of 31

Venues

  1. Cogent Engineering

    2 publications · 30 citations

    2

    h-index

  2. Computers & Geosciences

    CAGEO · 2 publications · 68 citations

    2

    h-index

  3. Journal of Intelligent & Fuzzy Systems

    1 publications · 11 citations

    1

    h-index

  4. Reliability Engineering & System Safety

    1 publications · 25 citations

    1

    h-index

  5. Annals of Data Science

    1 publications · 24 citations

    1

    h-index

1–5