Multivariate Process Capability

Multivariate Process Capability is a statistical metric that extends univariate process capability analysis by simultaneously assessing the performance of multiple correlated quality characteristics relative to their specification limits, thereby providing a comprehensive evaluation of a process's ability to produce conforming products in a multivariate setting.

65

Publications

2.8K

Citations

155

Authors

88

Institutions

Publications per year

2017–2026

9

Authors

155

  1. JP
    Jeh‐Nan Pan

    National Cheng Kung University, Taiwan

    4 publications · 115 citations

    4

    h-index

  2. AA
    Amirhossein Amiri

    Shahed University, Iran

    3 publications · 84 citations

    3

    h-index

  3. BA
    Babak Abbasi

    RMIT University, Australia

    3 publications · 78 citations

    3

    h-index

  4. HS
    Hamid Shahriari

    K.N.Toosi University of Technology, Iran

    3 publications · 245 citations

    3

    h-index

  5. FW
    Fu‐Kwun Wang

    National Taiwan University of Science and Technology, Taiwan

    3 publications · 170 citations

    3

    h-index

1–5 of 155

Venues

  1. 12

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  2. 7

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  3. Computers & Industrial Engineering

    4 publications · 103 citations

    4

    h-index

  4. International Journal of Production Research

    3 publications · 142 citations

    3

    h-index

  5. Quality Engineering

    3 publications · 149 citations

    3

    h-index

1–5