Maintenance Data-driven Decision Support

Maintenance Data-Driven Decision Support is a systematic framework that leverages empirical maintenance data and analytical models to generate actionable insights and optimize decision-making processes in maintenance management.

103

Publications

6.6K

Citations

331

Authors

142

Institutions

Publications per year

2017–2026

66

Authors

331

  1. AL
    Ashraf Labib

    University of Portsmouth, United Kingdom

    5 publications · 497 citations

    5

    h-index

  2. MP
    Michael P. Brundage

    National Institute of Standards and Technology, United States

    4 publications · 100 citations

    4

    h-index

  3. JB
    Jan Braaksma

    University of Twente, Netherlands

    3 publications · 113 citations

    3

    h-index

  4. TT
    Tiedo Tinga

    University of Twente, Netherlands

    3 publications · 113 citations

    3

    h-index

  5. GP
    Giuditta Pezzotta

    University of Bergamo, Italy

    2 publications · 41 citations

    2

    h-index

1–5 of 331

Venues

  1. Journal of Quality in Maintenance Engineering

    JQME · 7 publications · 458 citations

    7

    h-index

  2. Automation in Construction

    4 publications · 706 citations

    4

    h-index

  3. Reliability Engineering & System Safety

    4 publications · 240 citations

    4

    h-index

  4. Computers in Industry

    3 publications · 184 citations

    3

    h-index

  5. Applied Sciences

    3 publications · 52 citations

    3

    h-index

1–5