Process Mean Shift

Process Mean Shift is a statistical phenomenon in process capability analysis denoting the deviation of the process distribution's central tendency from its target or nominal value, typically measured in terms of sigma units, thereby indicating a sustained departure from intended process centering.

446

Publications

23.2K

Citations

596

Authors

320

Institutions

Publications per year

2017–2026

106

Authors

596

  1. MB
    Michael B. C. Khoo

    Universiti Sains Malaysia, Malaysia

    37 publications · 1.4K citations

    25

    h-index

  2. AH
    Abdul Haq

    Quaid-i-Azam University, Pakistan

    40 publications · 1.1K citations

    21

    h-index

  3. ZW
    Zhang Wu

    Nanyang Technological University, Singapore

    24 publications · 1.4K citations

    20

    h-index

  4. MR
    Marion R. Reynolds

    Virginia Tech, United States

    19 publications · 1.7K citations

    17

    h-index

  5. PC
    Philippe Castagliola

    Nantes Université, France

    14 publications · 644 citations

    14

    h-index

1–5 of 596

Venues

  1. Quality and Reliability Engineering International

    85 publications · 2.9K citations

    31

    h-index

  2. Journal of Quality Technology

    42 publications · 3.6K citations

    28

    h-index

  3. International Journal of Production Research

    36 publications · 1.7K citations

    25

    h-index

  4. 22

    h-index

  5. IIE Transactions

    19 publications · 1.5K citations

    18

    h-index

1–5