Longitudinal Process Data Analysis

Longitudinal Process Data Analysis is a methodological framework within continued process verification that involves the systematic collection, monitoring, and statistical evaluation of process performance data over extended periods to detect trends, shifts, or deviations in manufacturing quality attributes.

2

Publications

420

Citations

11

Authors

12

Institutions

Publications per year

2017–2026

0

Authors

11

  1. RM
    René Mauer

    ESCP Business School, Germany

    1 publications · 404 citations

    1

    h-index

  2. IR
    Isabelle Reymen

    Eindhoven University of Technology, Netherlands

    1 publications · 404 citations

    1

    h-index

  3. MD
    Michael D. Caldwell

    Marshfield Clinic, United States

    1 publications · 16 citations

    1

    h-index

  4. CP
    Christopher P. Prucha

    Waste Management (United States)

    1 publications · 16 citations

    1

    h-index

  5. RD
    Robert D. Gibbons

    University of Illinois Chicago, United States

    1 publications · 16 citations

    1

    h-index

1–5 of 11

Venues

  1. Waste Management

    1 publications · 16 citations

    1

    h-index

  2. Strategic Entrepreneurship Journal

    SEJ · 1 publications · 404 citations

    1

    h-index

1–2