Robust Maintenance Optimization

Robust Maintenance Optimization is a maintenance optimization approach that systematically incorporates uncertainty and variability in system degradation, operational conditions, and model parameters to yield maintenance policies that remain effective and stable under a wide range of foreseeable disturbances and modeling inaccuracies.

21

Publications

565

Citations

58

Authors

43

Institutions

Publications per year

2017–2026

17

Authors

58

  1. HA
    Hamzea Al-Jabouri

    Dalhousie University, Canada

    2 publications · 29 citations

    2

    h-index

  2. CD
    Claver Diallo

    Dalhousie University, Canada

    2 publications · 29 citations

    2

    h-index

  3. SC
    Sai‐Ho Chung

    Hong Kong Polytechnic University, Hong Kong SAR China

    2 publications · 56 citations

    2

    h-index

  4. AS
    Ahmed Saif

    Dalhousie University, Canada

    2 publications · 29 citations

    2

    h-index

  5. HM
    Hoi‐Lam Ma

    Hong Kong Polytechnic University, Hong Kong SAR China

    2 publications · 56 citations

    2

    h-index

1–5 of 58

Venues

  1. IEEE Access

    2 publications · 33 citations

    2

    h-index

  2. Computational Management Science

    1 publications · 11 citations

    1

    h-index

  3. 1

    h-index

  4. 1

    h-index

  5. Journal of Manufacturing Systems

    1 publications · 43 citations

    1

    h-index

1–5